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You searched for +publisher:"University of Texas – Austin" +contributor:("Stone, Peter"). Showing records 1 – 30 of 56 total matches.

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University of Texas – Austin

1. -3010-2713. Nondeterminism as a reproducibility challenge for deep reinforcement learning.

Degree: Computer Sciences, 2018, University of Texas – Austin

 In recent years, deep neural networks have powered many successes in deep reinforcement learning (DRL) and artificial intelligence by serving as effective function approximators in… (more)

Subjects/Keywords: Deep reinforcement learning; Reproducibility; Machine learning; Deterministic implementations; DQN

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APA (6th Edition):

-3010-2713. (2018). Nondeterminism as a reproducibility challenge for deep reinforcement learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/69244

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-3010-2713. “Nondeterminism as a reproducibility challenge for deep reinforcement learning.” 2018. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/69244.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-3010-2713. “Nondeterminism as a reproducibility challenge for deep reinforcement learning.” 2018. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3010-2713. Nondeterminism as a reproducibility challenge for deep reinforcement learning. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/69244.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-3010-2713. Nondeterminism as a reproducibility challenge for deep reinforcement learning. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/69244

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

2. -6950-6251. Light-based nonverbal signaling with passive demonstrations for mobile service robots.

Degree: Computer Sciences, 2018, University of Texas – Austin

 With emerging applications in robotics that have the potential to bring them into our daily lives, it is expected for them to not only operate… (more)

Subjects/Keywords: Robotics; Human-robot interaction; Nonverbal signaling; Light-based signals; Mobile service robotics; Passive demonstrations

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APA (6th Edition):

-6950-6251. (2018). Light-based nonverbal signaling with passive demonstrations for mobile service robots. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68210

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-6950-6251. “Light-based nonverbal signaling with passive demonstrations for mobile service robots.” 2018. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/68210.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-6950-6251. “Light-based nonverbal signaling with passive demonstrations for mobile service robots.” 2018. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6950-6251. Light-based nonverbal signaling with passive demonstrations for mobile service robots. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/68210.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-6950-6251. Light-based nonverbal signaling with passive demonstrations for mobile service robots. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68210

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

3. Barrett, Samuel Rubin. Making friends on the fly : advances in ad hoc teamwork.

Degree: Computer Sciences, 2014, University of Texas – Austin

 Given the continuing improvements in design and manufacturing processes in addition to improvements in artificial intelligence, robots are being deployed in an increasing variety of… (more)

Subjects/Keywords: Ad hoc teamwork; Multiagent systems; Machine learning

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APA (6th Edition):

Barrett, S. R. (2014). Making friends on the fly : advances in ad hoc teamwork. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28328

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Barrett, Samuel Rubin. “Making friends on the fly : advances in ad hoc teamwork.” 2014. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/28328.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Barrett, Samuel Rubin. “Making friends on the fly : advances in ad hoc teamwork.” 2014. Web. 17 Jun 2019.

Vancouver:

Barrett SR. Making friends on the fly : advances in ad hoc teamwork. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/28328.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Barrett SR. Making friends on the fly : advances in ad hoc teamwork. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28328

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

4. -7041-9136. Evolutionary bilevel optimization for complex control problems and blackbox function optimization.

Degree: Computer Sciences, 2015, University of Texas – Austin

 Most optimization algorithms must undergo time consuming parameter tuning in order to solve complex, real-world control tasks. Parameter tuning is inherently a bilevel optimization problem:… (more)

Subjects/Keywords: Genetic algorithms; Metaheuristics; Neural networks; Fitness approximation; Parameter tuning

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APA (6th Edition):

-7041-9136. (2015). Evolutionary bilevel optimization for complex control problems and blackbox function optimization. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31848

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-7041-9136. “Evolutionary bilevel optimization for complex control problems and blackbox function optimization.” 2015. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/31848.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-7041-9136. “Evolutionary bilevel optimization for complex control problems and blackbox function optimization.” 2015. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7041-9136. Evolutionary bilevel optimization for complex control problems and blackbox function optimization. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/31848.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-7041-9136. Evolutionary bilevel optimization for complex control problems and blackbox function optimization. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31848

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

5. Subramoney, Anand. Evaluating modular neuroevolution in robotic keepaway soccer.

Degree: Computer Sciences, 2012, University of Texas – Austin

 Keepaway is a simpler subtask of robot soccer where three `keepers' attempt to keep possession of the ball while a `taker' tries to steal it… (more)

Subjects/Keywords: Keepaway; ESP; Kulti-component ESP; Heterogeneous agents; Task decomposition

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APA (6th Edition):

Subramoney, A. (2012). Evaluating modular neuroevolution in robotic keepaway soccer. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/20022

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Subramoney, Anand. “Evaluating modular neuroevolution in robotic keepaway soccer.” 2012. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/20022.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Subramoney, Anand. “Evaluating modular neuroevolution in robotic keepaway soccer.” 2012. Web. 17 Jun 2019.

Vancouver:

Subramoney A. Evaluating modular neuroevolution in robotic keepaway soccer. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/20022.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Subramoney A. Evaluating modular neuroevolution in robotic keepaway soccer. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/20022

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

6. Khante, Priyanka. Learning attributes of real-world objects by clustering multimodal sensory data.

Degree: Computer Sciences, 2017, University of Texas – Austin

 The goal of this work is to propose a framework for learning attributes of real-world objects via a clustering-based approach that aims to reduce the… (more)

Subjects/Keywords: Robot; Multi-modal sensory data; Clustering; Attribute labelling; Human effort

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Khante, P. (2017). Learning attributes of real-world objects by clustering multimodal sensory data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62887

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khante, Priyanka. “Learning attributes of real-world objects by clustering multimodal sensory data.” 2017. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/62887.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khante, Priyanka. “Learning attributes of real-world objects by clustering multimodal sensory data.” 2017. Web. 17 Jun 2019.

Vancouver:

Khante P. Learning attributes of real-world objects by clustering multimodal sensory data. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/62887.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khante P. Learning attributes of real-world objects by clustering multimodal sensory data. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62887

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

7. Shahidi, Neda. A delayed response policy for autonomous intersection management.

Degree: Electrical and Computer Engineering, 2010, University of Texas – Austin

 The DARPA Urban Challenge in 2007 showed that fully autonomous vehicles, driven by computers without human intervention on public roads, are technologically feasible with current… (more)

Subjects/Keywords: Autonomous vehicles; Intersection management system; Reservation system

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APA (6th Edition):

Shahidi, N. (2010). A delayed response policy for autonomous intersection management. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-08-1932

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shahidi, Neda. “A delayed response policy for autonomous intersection management.” 2010. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/ETD-UT-2010-08-1932.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shahidi, Neda. “A delayed response policy for autonomous intersection management.” 2010. Web. 17 Jun 2019.

Vancouver:

Shahidi N. A delayed response policy for autonomous intersection management. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1932.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shahidi N. A delayed response policy for autonomous intersection management. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1932

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

8. -8485-1448. Intelligent collision management in dynamic environments for human-centered robots.

Degree: Mechanical Engineering, 2017, University of Texas – Austin

 Thanks to rapid breakthroughs on robotics, their historical deployment in industrial setups, their current extensions to warehouses, and the highly anticipated deployment of autonomous vehicles… (more)

Subjects/Keywords: Robotics; Safety

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-8485-1448. (2017). Intelligent collision management in dynamic environments for human-centered robots. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63643

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-8485-1448. “Intelligent collision management in dynamic environments for human-centered robots.” 2017. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/63643.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-8485-1448. “Intelligent collision management in dynamic environments for human-centered robots.” 2017. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8485-1448. Intelligent collision management in dynamic environments for human-centered robots. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/63643.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-8485-1448. Intelligent collision management in dynamic environments for human-centered robots. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63643

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

9. -8073-3276. Parameterized modular inverse reinforcement learning.

Degree: Computer Sciences, 2015, University of Texas – Austin

 Reinforcement learning and inverse reinforcement learning can be used to model and understand human behaviors. However, due to the curse of dimensionality, their use as… (more)

Subjects/Keywords: Reinforcement learning; Artificial intelligence; Inverse reinforcement learning; Modular inverse reinforcement learning; Reinforcement learning algorithms; Human navigation behaviors

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-8073-3276. (2015). Parameterized modular inverse reinforcement learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46987

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-8073-3276. “Parameterized modular inverse reinforcement learning.” 2015. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/46987.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-8073-3276. “Parameterized modular inverse reinforcement learning.” 2015. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8073-3276. Parameterized modular inverse reinforcement learning. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/46987.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-8073-3276. Parameterized modular inverse reinforcement learning. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/46987

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

10. -5294-4228. Scalable smoothing algorithms for massive graph-structured data.

Degree: Computer Sciences, 2017, University of Texas – Austin

 Probabilistically modeling noisy data is a crucial step in virtually all scientific experiments and engineering pipelines. Recent years have seen the rise of several high-throughput… (more)

Subjects/Keywords: Smoothing; Algorithms; False discovery rate; Spatial smoothing; Total variation; Trend filtering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-5294-4228. (2017). Scalable smoothing algorithms for massive graph-structured data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61823

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-5294-4228. “Scalable smoothing algorithms for massive graph-structured data.” 2017. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/61823.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-5294-4228. “Scalable smoothing algorithms for massive graph-structured data.” 2017. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5294-4228. Scalable smoothing algorithms for massive graph-structured data. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/61823.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-5294-4228. Scalable smoothing algorithms for massive graph-structured data. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61823

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

11. -3115-1189. Fly with me : algorithms and methods for influencing a flock.

Degree: Computer Sciences, 2017, University of Texas – Austin

 As robots become more affordable, they will begin to exist in the world in greater quantities. Some of these robots will likely be designed to… (more)

Subjects/Keywords: Flocking; Ad hoc teamwork; Influencing a flock; Ad hoc agent; Multiagent teamwork; Swarms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-3115-1189. (2017). Fly with me : algorithms and methods for influencing a flock. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61905

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-3115-1189. “Fly with me : algorithms and methods for influencing a flock.” 2017. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/61905.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-3115-1189. “Fly with me : algorithms and methods for influencing a flock.” 2017. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3115-1189. Fly with me : algorithms and methods for influencing a flock. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/61905.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-3115-1189. Fly with me : algorithms and methods for influencing a flock. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61905

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

12. -9199-0633. Continually improving grounded natural language understanding through human-robot dialog.

Degree: Computer Sciences, 2018, University of Texas – Austin

 As robots become ubiquitous in homes and workplaces such as hospitals and factories, they must be able to communicate with humans. Several kinds of knowledge… (more)

Subjects/Keywords: Natural language processing; Human-robot dialog

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APA (6th Edition):

-9199-0633. (2018). Continually improving grounded natural language understanding through human-robot dialog. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68120

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-9199-0633. “Continually improving grounded natural language understanding through human-robot dialog.” 2018. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/68120.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-9199-0633. “Continually improving grounded natural language understanding through human-robot dialog.” 2018. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-9199-0633. Continually improving grounded natural language understanding through human-robot dialog. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/68120.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-9199-0633. Continually improving grounded natural language understanding through human-robot dialog. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68120

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

13. -9534-5383. Sensor-based robust whole-body control of highly dynamic legged humanoid robots.

Degree: Mechanical Engineering, 2018, University of Texas – Austin

 Industrial robots significantly improve the productivity of manufacturing operations performing various tasks rapidly, accurately, and repeatedly. It would be hard to imagine factories without robotic… (more)

Subjects/Keywords: Whole-body control; Biped locomotion; Dynamic motion control; Torque control

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APA (6th Edition):

-9534-5383. (2018). Sensor-based robust whole-body control of highly dynamic legged humanoid robots. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68181

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-9534-5383. “Sensor-based robust whole-body control of highly dynamic legged humanoid robots.” 2018. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/68181.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-9534-5383. “Sensor-based robust whole-body control of highly dynamic legged humanoid robots.” 2018. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-9534-5383. Sensor-based robust whole-body control of highly dynamic legged humanoid robots. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/68181.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-9534-5383. Sensor-based robust whole-body control of highly dynamic legged humanoid robots. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68181

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

14. Lierler, Yuliya. SAT-based answer set programming.

Degree: Computer Sciences, 2010, University of Texas – Austin

 Answer set programming (ASP) is a declarative programming paradigm oriented towards difficult combinatorial search problems. Syntactically, ASP programs look like Prolog programs, but solutions are… (more)

Subjects/Keywords: Answer set programming; Logic programming; Propositional satisfiability; Answer set solvers; SAT; SAT solvers; Smodels; Cmodels

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lierler, Y. (2010). SAT-based answer set programming. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-05-888

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lierler, Yuliya. “SAT-based answer set programming.” 2010. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/ETD-UT-2010-05-888.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lierler, Yuliya. “SAT-based answer set programming.” 2010. Web. 17 Jun 2019.

Vancouver:

Lierler Y. SAT-based answer set programming. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-888.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lierler Y. SAT-based answer set programming. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-888

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

15. Kuhlmann, Gregory John. Automated domain analysis and transfer learning in general game playing.

Degree: Computer Sciences, 2010, University of Texas – Austin

 Creating programs that can play games such as chess, checkers, and backgammon, at a high level has long been a challenge and benchmark for AI.… (more)

Subjects/Keywords: Games; Machine learning; Knowledge transfer; Reinforcement learning; General game playing; Computer games; Artificial Intelligence; AI

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kuhlmann, G. J. (2010). Automated domain analysis and transfer learning in general game playing. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-08-1975

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kuhlmann, Gregory John. “Automated domain analysis and transfer learning in general game playing.” 2010. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/ETD-UT-2010-08-1975.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kuhlmann, Gregory John. “Automated domain analysis and transfer learning in general game playing.” 2010. Web. 17 Jun 2019.

Vancouver:

Kuhlmann GJ. Automated domain analysis and transfer learning in general game playing. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1975.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kuhlmann GJ. Automated domain analysis and transfer learning in general game playing. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1975

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

16. Stober, Jeremy Michael. Sensorimotor embedding : a developmental approach to learning geometry.

Degree: Computer Sciences, 2015, University of Texas – Austin

 A human infant facing the blooming, buzzing confusion of the senses grows up to be an adult with common-sense knowledge of geometry; this knowledge then… (more)

Subjects/Keywords: Sensorimotor; Ai; Robotics; Development

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APA (6th Edition):

Stober, J. M. (2015). Sensorimotor embedding : a developmental approach to learning geometry. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/30532

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stober, Jeremy Michael. “Sensorimotor embedding : a developmental approach to learning geometry.” 2015. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/30532.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stober, Jeremy Michael. “Sensorimotor embedding : a developmental approach to learning geometry.” 2015. Web. 17 Jun 2019.

Vancouver:

Stober JM. Sensorimotor embedding : a developmental approach to learning geometry. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/30532.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stober JM. Sensorimotor embedding : a developmental approach to learning geometry. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/30532

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

17. -7026-3418. Management of a shared, autonomous, electric vehicle fleet : vehicle choice, charging infrastructure & pricing strategies.

Degree: Civil, Architectural, and Environmental Engineering, 2015, University of Texas – Austin

 There are natural synergies between shared autonomous vehicle (AV) fleets and electric vehicle (EV) technology, since fleets of AVs resolve the practical limitations of today's… (more)

Subjects/Keywords: Carsharing; Electric vehicles; Autonomous vehicles; Transportation planning; Mode choice; Transportation pricing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-7026-3418. (2015). Management of a shared, autonomous, electric vehicle fleet : vehicle choice, charging infrastructure & pricing strategies. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32523

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-7026-3418. “Management of a shared, autonomous, electric vehicle fleet : vehicle choice, charging infrastructure & pricing strategies.” 2015. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/32523.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-7026-3418. “Management of a shared, autonomous, electric vehicle fleet : vehicle choice, charging infrastructure & pricing strategies.” 2015. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7026-3418. Management of a shared, autonomous, electric vehicle fleet : vehicle choice, charging infrastructure & pricing strategies. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/32523.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-7026-3418. Management of a shared, autonomous, electric vehicle fleet : vehicle choice, charging infrastructure & pricing strategies. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32523

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

18. Lopez-Mobilia, Gabriel. Children’s psychological and moral attributions to a humanoid robot.

Degree: Psychology, 2015, University of Texas – Austin

 In the near future, sophisticated social robots will become increasingly interwoven into our lives. Researchers have recently begun to examine people’s anthropomorphic conceptions of such… (more)

Subjects/Keywords: Cognitive development; Anthropomorphism; Robots

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lopez-Mobilia, G. (2015). Children’s psychological and moral attributions to a humanoid robot. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32591

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lopez-Mobilia, Gabriel. “Children’s psychological and moral attributions to a humanoid robot.” 2015. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/32591.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lopez-Mobilia, Gabriel. “Children’s psychological and moral attributions to a humanoid robot.” 2015. Web. 17 Jun 2019.

Vancouver:

Lopez-Mobilia G. Children’s psychological and moral attributions to a humanoid robot. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/32591.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lopez-Mobilia G. Children’s psychological and moral attributions to a humanoid robot. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32591

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

19. Johnson, Leif Morgan. Redundancy reduction in motor control.

Degree: Computer Sciences, 2015, University of Texas – Austin

 Research in machine learning and neuroscience has made remarkable progress by investigating statistical redundancy in representations of natural environments, but to date much of this… (more)

Subjects/Keywords: Motor control; Redundancy reduction; Sparsity; Coding; Movement; Neural networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Johnson, L. M. (2015). Redundancy reduction in motor control. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32825

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Johnson, Leif Morgan. “Redundancy reduction in motor control.” 2015. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/32825.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Johnson, Leif Morgan. “Redundancy reduction in motor control.” 2015. Web. 17 Jun 2019.

Vancouver:

Johnson LM. Redundancy reduction in motor control. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/32825.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Johnson LM. Redundancy reduction in motor control. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32825

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

20. Yoon, Ki Jung. Unraveling the dynamics and structure of grid cells as a spatial map in the brain.

Degree: Electrical and Computer Engineering, 2015, University of Texas – Austin

 Grid cells, defined by their strikingly periodic spatial responses in open fields, have spurred widespread theoretical interest, and numerous models have been proposed to explain… (more)

Subjects/Keywords: Grid cells; Spatial memory; Spatial navigation

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APA (6th Edition):

Yoon, K. J. (2015). Unraveling the dynamics and structure of grid cells as a spatial map in the brain. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/33387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yoon, Ki Jung. “Unraveling the dynamics and structure of grid cells as a spatial map in the brain.” 2015. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/33387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yoon, Ki Jung. “Unraveling the dynamics and structure of grid cells as a spatial map in the brain.” 2015. Web. 17 Jun 2019.

Vancouver:

Yoon KJ. Unraveling the dynamics and structure of grid cells as a spatial map in the brain. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/33387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yoon KJ. Unraveling the dynamics and structure of grid cells as a spatial map in the brain. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/33387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

21. Chen, Chao-Yeh. Learning human activities and poses with interconnected data sources.

Degree: Computer Sciences, 2016, University of Texas – Austin

 Understanding human actions and poses in images or videos is a challenging problem in computer vision. There are different topics related to this problem such… (more)

Subjects/Keywords: Activity recognition; Activity detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, C. (2016). Learning human activities and poses with interconnected data sources. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/40260

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Chao-Yeh. “Learning human activities and poses with interconnected data sources.” 2016. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/40260.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Chao-Yeh. “Learning human activities and poses with interconnected data sources.” 2016. Web. 17 Jun 2019.

Vancouver:

Chen C. Learning human activities and poses with interconnected data sources. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/40260.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen C. Learning human activities and poses with interconnected data sources. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/40260

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

22. Gulati, Shilpa. A framework for characterization and planning of safe, comfortable, and customizable motion of assistive mobile robots.

Degree: Mechanical Engineering, 2011, University of Texas – Austin

 Assistive mobile robots, such as intelligent wheelchairs, that can navigate autonomously in response to high level commands from a user can greatly benefit people with… (more)

Subjects/Keywords: Assistive robots; Robot motion planning; Safe and comfortable motion planning for wheeled mobile robots

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APA (6th Edition):

Gulati, S. (2011). A framework for characterization and planning of safe, comfortable, and customizable motion of assistive mobile robots. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-3992

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gulati, Shilpa. “A framework for characterization and planning of safe, comfortable, and customizable motion of assistive mobile robots.” 2011. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/ETD-UT-2011-08-3992.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gulati, Shilpa. “A framework for characterization and planning of safe, comfortable, and customizable motion of assistive mobile robots.” 2011. Web. 17 Jun 2019.

Vancouver:

Gulati S. A framework for characterization and planning of safe, comfortable, and customizable motion of assistive mobile robots. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3992.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gulati S. A framework for characterization and planning of safe, comfortable, and customizable motion of assistive mobile robots. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3992

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

23. Jong, Nicholas K. Structured exploration for reinforcement learning.

Degree: Computer Sciences, 2010, University of Texas – Austin

 Reinforcement Learning (RL) offers a promising approach towards achieving the dream of autonomous agents that can behave intelligently in the real world. Instead of requiring… (more)

Subjects/Keywords: Reinforcement learning; Machine learning

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APA (6th Edition):

Jong, N. K. (2010). Structured exploration for reinforcement learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2448

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jong, Nicholas K. “Structured exploration for reinforcement learning.” 2010. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/ETD-UT-2010-12-2448.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jong, Nicholas K. “Structured exploration for reinforcement learning.” 2010. Web. 17 Jun 2019.

Vancouver:

Jong NK. Structured exploration for reinforcement learning. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2448.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jong NK. Structured exploration for reinforcement learning. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2448

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

24. Rambha, Tarun. Dynamic congestion pricing in within-day and day-to-day network equilibrium models.

Degree: Civil, Architectural, and Environmental Engineering, 2016, University of Texas – Austin

 This dissertation explores two kinds of dynamic pricing models which react to within-day and day-to-day variation in traffic. Traffic patterns vary within each day due… (more)

Subjects/Keywords: Dynamic pricing; Online routing; Equilibrium with recourse; Supply-side uncertainty; Markov decision processes; Day-to-day dynamics; Route choice uncertainty

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APA (6th Edition):

Rambha, T. (2016). Dynamic congestion pricing in within-day and day-to-day network equilibrium models. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41760

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rambha, Tarun. “Dynamic congestion pricing in within-day and day-to-day network equilibrium models.” 2016. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/41760.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rambha, Tarun. “Dynamic congestion pricing in within-day and day-to-day network equilibrium models.” 2016. Web. 17 Jun 2019.

Vancouver:

Rambha T. Dynamic congestion pricing in within-day and day-to-day network equilibrium models. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/41760.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rambha T. Dynamic congestion pricing in within-day and day-to-day network equilibrium models. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41760

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

25. -1514-4624. Derivative-free motion optimization for animated characters.

Degree: Computer Sciences, 2016, University of Texas – Austin

 In this work, we develop a novel motion optimization system suitable for offline generation of complex, physically realistic character animation. Given a rough input motion,… (more)

Subjects/Keywords: Character animation; Optimization; Physics simulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-1514-4624. (2016). Derivative-free motion optimization for animated characters. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41994

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-1514-4624. “Derivative-free motion optimization for animated characters.” 2016. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/41994.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-1514-4624. “Derivative-free motion optimization for animated characters.” 2016. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-1514-4624. Derivative-free motion optimization for animated characters. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/41994.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-1514-4624. Derivative-free motion optimization for animated characters. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41994

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

26. Hausknecht, Matthew John. Cooperation and communication in multiagent deep reinforcement learning.

Degree: Computer Sciences, 2016, University of Texas – Austin

 Reinforcement learning is the area of machine learning concerned with learning which actions to execute in an unknown environment in order to maximize cumulative reward.… (more)

Subjects/Keywords: Reinforcement learning; Deep learning; Multiagent learning; Cooperation; Communication; RoboCup; POMDP; Deep reinforcement learning; Deep RL

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APA (6th Edition):

Hausknecht, M. J. (2016). Cooperation and communication in multiagent deep reinforcement learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45681

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hausknecht, Matthew John. “Cooperation and communication in multiagent deep reinforcement learning.” 2016. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/45681.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hausknecht, Matthew John. “Cooperation and communication in multiagent deep reinforcement learning.” 2016. Web. 17 Jun 2019.

Vancouver:

Hausknecht MJ. Cooperation and communication in multiagent deep reinforcement learning. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/45681.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hausknecht MJ. Cooperation and communication in multiagent deep reinforcement learning. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45681

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

27. -6763-2625. Multilayered skill learning and movement coordination for autonomous robotic agents.

Degree: Computer Sciences, 2017, University of Texas – Austin

 With advances in technology expanding the capabilities of robots, while at the same time making robots cheaper to manufacture, robots are rapidly becoming more prevalent… (more)

Subjects/Keywords: Overlapping layered learning; Role assignment; Reinforcement learning; Robotics; Robot soccer

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APA (6th Edition):

-6763-2625. (2017). Multilayered skill learning and movement coordination for autonomous robotic agents. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62889

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-6763-2625. “Multilayered skill learning and movement coordination for autonomous robotic agents.” 2017. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/62889.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-6763-2625. “Multilayered skill learning and movement coordination for autonomous robotic agents.” 2017. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6763-2625. Multilayered skill learning and movement coordination for autonomous robotic agents. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/62889.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-6763-2625. Multilayered skill learning and movement coordination for autonomous robotic agents. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62889

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

28. -3729-8456. Natural-language video description with deep recurrent neural networks.

Degree: Computer Sciences, 2017, University of Texas – Austin

 For most people, watching a brief video and describing what happened (in words) is an easy task. For machines, extracting meaning from video pixels and… (more)

Subjects/Keywords: Video; Captioning; Description; LSTM; RNN; Recurrent; Neural networks; Image captioning; Video captioning; Language and vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-3729-8456. (2017). Natural-language video description with deep recurrent neural networks. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62987

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-3729-8456. “Natural-language video description with deep recurrent neural networks.” 2017. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/62987.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-3729-8456. “Natural-language video description with deep recurrent neural networks.” 2017. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3729-8456. Natural-language video description with deep recurrent neural networks. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/62987.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-3729-8456. Natural-language video description with deep recurrent neural networks. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62987

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

29. -7062-2970. Advances in statistical script learning.

Degree: Computer Sciences, 2017, University of Texas – Austin

 When humans encode information into natural language, they do so with the clear assumption that the reader will be able to seamlessly make inferences based… (more)

Subjects/Keywords: Natural language processing; Machine learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-7062-2970. (2017). Advances in statistical script learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63480

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-7062-2970. “Advances in statistical script learning.” 2017. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/63480.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-7062-2970. “Advances in statistical script learning.” 2017. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7062-2970. Advances in statistical script learning. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/63480.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-7062-2970. Advances in statistical script learning. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63480

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

30. Urieli, Daniel. Autonomous trading in modern electricity markets.

Degree: Computer Sciences, 2015, University of Texas – Austin

 The smart grid is an electricity grid augmented with digital technologies that automate the management of electricity delivery. The smart grid is envisioned to be… (more)

Subjects/Keywords: Autonomous electricity trading; Smart grid; Electricity markets; Power markets; Planning; Lookahead planning; Monte-Carlo planning; Learning agents; Embedded machine learning; Machine learning; Reinforcement learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Urieli, D. (2015). Autonomous trading in modern electricity markets. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/39597

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Urieli, Daniel. “Autonomous trading in modern electricity markets.” 2015. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/39597.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Urieli, Daniel. “Autonomous trading in modern electricity markets.” 2015. Web. 17 Jun 2019.

Vancouver:

Urieli D. Autonomous trading in modern electricity markets. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/39597.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Urieli D. Autonomous trading in modern electricity markets. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/39597

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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