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You searched for +publisher:"University of Texas – Austin" +contributor:("Ballard, Dana"). Showing records 1 – 19 of 19 total matches.

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University of Texas – Austin

1. Li, Xun, Ph. D. in computer sciences. Opponent modeling and exploitation in poker using evolved recurrent neural networks.

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

 As a classic example of imperfect information games, poker, in particular, Heads-Up No-Limit Texas Holdem (HUNL), has been studied extensively in recent years. A number… (more)

Subjects/Keywords: Computer poker; Opponent modeling; Evolutionary computation; LSTM

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

APA (6th Edition):

Li, Xun, P. D. i. c. s. (2018). Opponent modeling and exploitation in poker using evolved recurrent neural networks. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68687

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):

Li, Xun, Ph D in computer sciences. “Opponent modeling and exploitation in poker using evolved recurrent neural networks.” 2018. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/68687.

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

MLA Handbook (7th Edition):

Li, Xun, Ph D in computer sciences. “Opponent modeling and exploitation in poker using evolved recurrent neural networks.” 2018. Web. 16 Jun 2019.

Vancouver:

Li, Xun PDics. Opponent modeling and exploitation in poker using evolved recurrent neural networks. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/68687.

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

Council of Science Editors:

Li, Xun PDics. Opponent modeling and exploitation in poker using evolved recurrent neural networks. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68687

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


University of Texas – Austin

2. -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 (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 16, 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. 16 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 16]. 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

3. 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 (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 16, 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. 16 Jun 2019.

Vancouver:

Johnson LM. Redundancy reduction in motor control. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 16]. 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

4. 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 16, 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. 16 Jun 2019.

Vancouver:

Hausknecht MJ. Cooperation and communication in multiagent deep reinforcement learning. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 16]. 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

5. -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 16, 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. 16 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 16]. 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

6. Rajagopalan, Padmini. The evolution of coordinated cooperative behaviors.

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

 Cooperative behaviors are useful to many species of animals. Predators may team up to hunt large prey that they cannot catch on their own, while… (more)

Subjects/Keywords: Neuroevolution; Simulation

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APA (6th Edition):

Rajagopalan, P. (2016). The evolution of coordinated cooperative behaviors. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46610

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):

Rajagopalan, Padmini. “The evolution of coordinated cooperative behaviors.” 2016. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/46610.

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

MLA Handbook (7th Edition):

Rajagopalan, Padmini. “The evolution of coordinated cooperative behaviors.” 2016. Web. 16 Jun 2019.

Vancouver:

Rajagopalan P. The evolution of coordinated cooperative behaviors. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/46610.

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

Council of Science Editors:

Rajagopalan P. The evolution of coordinated cooperative behaviors. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46610

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


University of Texas – Austin

7. Mugan, Jonathan William. Autonomous qualitative learning of distinctions and actions in a developing agent.

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

 How can an agent bootstrap up from a pixel-level representation to autonomously learn high-level states and actions using only domain general knowledge? This thesis attacks… (more)

Subjects/Keywords: Artificial intelligence; Robotics; Machine learning; Reinforcement learning; Discretization; Qualitative learning

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APA (6th Edition):

Mugan, J. W. (2010). Autonomous qualitative learning of distinctions and actions in a developing agent. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-08-1726

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):

Mugan, Jonathan William. “Autonomous qualitative learning of distinctions and actions in a developing agent.” 2010. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/ETD-UT-2010-08-1726.

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

MLA Handbook (7th Edition):

Mugan, Jonathan William. “Autonomous qualitative learning of distinctions and actions in a developing agent.” 2010. Web. 16 Jun 2019.

Vancouver:

Mugan JW. Autonomous qualitative learning of distinctions and actions in a developing agent. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1726.

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

Council of Science Editors:

Mugan JW. Autonomous qualitative learning of distinctions and actions in a developing agent. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1726

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


University of Texas – Austin

8. Grasemann, Hans Ulrich. A computational model of language pathology in schizophrenia.

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

 No current laboratory test can reliably identify patients with schizophrenia. Instead, key symptoms are observed via language, including derailment, where patients cannot follow a coherent… (more)

Subjects/Keywords: Schizophrenia; Neural networks; Connectionist; Natural language processing; Psychopathology

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APA (6th Edition):

Grasemann, H. U. (2010). A computational model of language pathology in schizophrenia. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2589

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):

Grasemann, Hans Ulrich. “A computational model of language pathology in schizophrenia.” 2010. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/ETD-UT-2010-12-2589.

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

MLA Handbook (7th Edition):

Grasemann, Hans Ulrich. “A computational model of language pathology in schizophrenia.” 2010. Web. 16 Jun 2019.

Vancouver:

Grasemann HU. A computational model of language pathology in schizophrenia. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2589.

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

Council of Science Editors:

Grasemann HU. A computational model of language pathology in schizophrenia. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2589

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

9. Cooper, Joseph L., 1980-. Analysis and synthesis of bipedal humanoid movement : a physical simulation approach.

Degree: Computer Sciences, 2013, University of Texas – Austin

 Advances in graphics and robotics have increased the importance of tools for synthesizing humanoid movements to control animated characters and physical robots. There is also… (more)

Subjects/Keywords: Motor-control; Virtual reality; Simulation; Inverse kinematics; Inverse dynamics; Forward dynamics

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

APA (6th Edition):

Cooper, Joseph L., 1. (2013). Analysis and synthesis of bipedal humanoid movement : a physical simulation approach. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21170

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):

Cooper, Joseph L., 1980-. “Analysis and synthesis of bipedal humanoid movement : a physical simulation approach.” 2013. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/21170.

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

MLA Handbook (7th Edition):

Cooper, Joseph L., 1980-. “Analysis and synthesis of bipedal humanoid movement : a physical simulation approach.” 2013. Web. 16 Jun 2019.

Vancouver:

Cooper, Joseph L. 1. Analysis and synthesis of bipedal humanoid movement : a physical simulation approach. [Internet] [Thesis]. University of Texas – Austin; 2013. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/21170.

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

Council of Science Editors:

Cooper, Joseph L. 1. Analysis and synthesis of bipedal humanoid movement : a physical simulation approach. [Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21170

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

10. Zhang, Ruohan. Action selection in modular reinforcement learning.

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

 Modular reinforcement learning is an approach to resolve the curse of dimensionality problem in traditional reinforcement learning. We design and implement a modular reinforcement learning… (more)

Subjects/Keywords: Modular reinforcement learning; Action selection; Module weight

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

APA (6th Edition):

Zhang, R. (2014). Action selection in modular reinforcement learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/25916

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):

Zhang, Ruohan. “Action selection in modular reinforcement learning.” 2014. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/25916.

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

MLA Handbook (7th Edition):

Zhang, Ruohan. “Action selection in modular reinforcement learning.” 2014. Web. 16 Jun 2019.

Vancouver:

Zhang R. Action selection in modular reinforcement learning. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/25916.

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

Council of Science Editors:

Zhang R. Action selection in modular reinforcement learning. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/25916

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

11. -7122-1968. Evolving scout agents for military simulations.

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

 Simulations play an increasingly significant role in training and preparing the military, particularly in environments with constrained budgets. Unfortunately, in most cases a small number… (more)

Subjects/Keywords: NEAT; Neural networks; Military simulations; Military terrain analysis; Neuroevolution; Autonomous agents

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APA (6th Edition):

-7122-1968. (2015). Evolving scout agents for military simulations. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31850

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):

-7122-1968. “Evolving scout agents for military simulations.” 2015. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/31850.

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):

-7122-1968. “Evolving scout agents for military simulations.” 2015. Web. 16 Jun 2019.

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

Vancouver:

-7122-1968. Evolving scout agents for military simulations. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/31850.

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:

-7122-1968. Evolving scout agents for military simulations. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31850

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

12. Farchy, Alon. Learning in simulation for real robots.

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

 Simulation is often used in research and industry as a low cost, high efficiency alternative to real model testing. Simulation has also been used to… (more)

Subjects/Keywords: Aldebaran; Nao; Optimization; Parameters; Simulation; Robot; CMA-ES; M5P; Walk; Omnidirectional; RoboCup; Learning; Machine learning

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

APA (6th Edition):

Farchy, A. (2012). Learning in simulation for real robots. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-5882

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):

Farchy, Alon. “Learning in simulation for real robots.” 2012. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/ETD-UT-2012-05-5882.

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

MLA Handbook (7th Edition):

Farchy, Alon. “Learning in simulation for real robots.” 2012. Web. 16 Jun 2019.

Vancouver:

Farchy A. Learning in simulation for real robots. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5882.

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

Council of Science Editors:

Farchy A. Learning in simulation for real robots. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5882

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

13. Hester, Todd. Texplore : temporal difference reinforcement learning for robots and time-constrained domains: Temporal difference reinforcement learning for robots and time-constrained domains.

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

 Robots have the potential to solve many problems in society, because of their ability to work in dangerous places doing necessary jobs that no one… (more)

Subjects/Keywords: Reinforcement learning; Robotics; Machine learning; Artificial intelligence; Markov Decision Processes; Random forests

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

APA (6th Edition):

Hester, T. (2012). Texplore : temporal difference reinforcement learning for robots and time-constrained domains: Temporal difference reinforcement learning for robots and time-constrained domains. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-12-6763

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):

Hester, Todd. “Texplore : temporal difference reinforcement learning for robots and time-constrained domains: Temporal difference reinforcement learning for robots and time-constrained domains.” 2012. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/ETD-UT-2012-12-6763.

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

MLA Handbook (7th Edition):

Hester, Todd. “Texplore : temporal difference reinforcement learning for robots and time-constrained domains: Temporal difference reinforcement learning for robots and time-constrained domains.” 2012. Web. 16 Jun 2019.

Vancouver:

Hester T. Texplore : temporal difference reinforcement learning for robots and time-constrained domains: Temporal difference reinforcement learning for robots and time-constrained domains. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-12-6763.

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

Council of Science Editors:

Hester T. Texplore : temporal difference reinforcement learning for robots and time-constrained domains: Temporal difference reinforcement learning for robots and time-constrained domains. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-12-6763

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

14. Iyer, Rahul R. Efficient muscle representation for human walking.

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

 Research in robotics has recently broadened its traditional focus on industrial applications to include natural, human-like systems. The human musculoskeletal system has over 600 muscles… (more)

Subjects/Keywords: Robotics; Motion capture; Human movement; Matching pursuit

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

APA (6th Edition):

Iyer, R. R. (2012). Efficient muscle representation for human walking. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19530

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):

Iyer, Rahul R. “Efficient muscle representation for human walking.” 2012. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/19530.

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

MLA Handbook (7th Edition):

Iyer, Rahul R. “Efficient muscle representation for human walking.” 2012. Web. 16 Jun 2019.

Vancouver:

Iyer RR. Efficient muscle representation for human walking. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/19530.

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

Council of Science Editors:

Iyer RR. Efficient muscle representation for human walking. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19530

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

15. Lee, Juhyun. Robust color-based vision for mobile robots.

Degree: Computer Sciences, 2011, University of Texas – Austin

 An intelligent agent operating in the real world needs to be fully aware of the surrounding environment to make the best decision possible at any… (more)

Subjects/Keywords: Robotics; Computer vision; Machine learning; Artificial intelligence; Computer graphics

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

APA (6th Edition):

Lee, J. (2011). Robust color-based vision for mobile robots. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-12-4770

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):

Lee, Juhyun. “Robust color-based vision for mobile robots.” 2011. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/ETD-UT-2011-12-4770.

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

MLA Handbook (7th Edition):

Lee, Juhyun. “Robust color-based vision for mobile robots.” 2011. Web. 16 Jun 2019.

Vancouver:

Lee J. Robust color-based vision for mobile robots. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-12-4770.

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

Council of Science Editors:

Lee J. Robust color-based vision for mobile robots. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-12-4770

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

16. Kit, Dmitry Mark. Change detection models for mobile cameras.

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

 Change detection is an ability that allows intelligent agents to react to unexpected situations. This mechanism is fundamental in providing more autonomy to robots. It… (more)

Subjects/Keywords: Change detection; Mobile gamera; Color histograms; Optic flow; Optical flow; Matching pursuit; Growing neural gas; Self-organizing map

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

APA (6th Edition):

Kit, D. M. (2012). Change detection models for mobile cameras. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-5127

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):

Kit, Dmitry Mark. “Change detection models for mobile cameras.” 2012. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/ETD-UT-2012-05-5127.

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

MLA Handbook (7th Edition):

Kit, Dmitry Mark. “Change detection models for mobile cameras.” 2012. Web. 16 Jun 2019.

Vancouver:

Kit DM. Change detection models for mobile cameras. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5127.

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

Council of Science Editors:

Kit DM. Change detection models for mobile cameras. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5127

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

17. Knox, William Bradley. Learning from human-generated reward.

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

 Robots and other computational agents are increasingly becoming part of our daily lives. They will need to be able to learn to perform new tasks,… (more)

Subjects/Keywords: Human-agent interaction; Human-robot interaction; Human teachers; Shaping; Learning agents; Reinforcement learning; Robotics; Machine learning

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

APA (6th Edition):

Knox, W. B. (2012). Learning from human-generated reward. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19472

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):

Knox, William Bradley. “Learning from human-generated reward.” 2012. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/19472.

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

MLA Handbook (7th Edition):

Knox, William Bradley. “Learning from human-generated reward.” 2012. Web. 16 Jun 2019.

Vancouver:

Knox WB. Learning from human-generated reward. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/19472.

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

Council of Science Editors:

Knox WB. Learning from human-generated reward. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19472

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

18. Saggar, Manish. Computational analysis of meditation.

Degree: Computer Sciences, 2011, University of Texas – Austin

 Meditation training has been shown to improve attention and emotion regulation. However, the mechanisms responsible for these effects are largely unknown. In order to make… (more)

Subjects/Keywords: Computational modeling; Meditation; EEG; Sustained attention; Spectral analysis; Preprocessing

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

APA (6th Edition):

Saggar, M. (2011). Computational analysis of meditation. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-3964

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):

Saggar, Manish. “Computational analysis of meditation.” 2011. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/ETD-UT-2011-08-3964.

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

MLA Handbook (7th Edition):

Saggar, Manish. “Computational analysis of meditation.” 2011. Web. 16 Jun 2019.

Vancouver:

Saggar M. Computational analysis of meditation. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3964.

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

Council of Science Editors:

Saggar M. Computational analysis of meditation. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3964

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

19. Sullivan, Brian Thomas. The role of uncertainty and reward on eye movements in natural tasks.

Degree: Psychology, 2012, University of Texas – Austin

 The human visual system is remarkable for the variety of functions it can be used for and the range of conditions under which it can… (more)

Subjects/Keywords: Visual attention; Computational models of vision; Driving; Eye movements

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

APA (6th Edition):

Sullivan, B. T. (2012). The role of uncertainty and reward on eye movements in natural tasks. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-4995

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):

Sullivan, Brian Thomas. “The role of uncertainty and reward on eye movements in natural tasks.” 2012. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/ETD-UT-2012-05-4995.

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

MLA Handbook (7th Edition):

Sullivan, Brian Thomas. “The role of uncertainty and reward on eye movements in natural tasks.” 2012. Web. 16 Jun 2019.

Vancouver:

Sullivan BT. The role of uncertainty and reward on eye movements in natural tasks. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-4995.

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

Council of Science Editors:

Sullivan BT. The role of uncertainty and reward on eye movements in natural tasks. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-4995

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

.