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You searched for +publisher:"University of Texas – Austin" +contributor:("Ballard, Dana H. (Dana Harry), 1946-"). Showing records 1 – 4 of 4 total matches.

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

Degree: PhD, Computer Science, 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 (6th Edition):

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

Chicago Manual of Style (16th Edition):

Cooper, Joseph L., 1980-. “Analysis and synthesis of bipedal humanoid movement : a physical simulation approach.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed October 25, 2020. http://hdl.handle.net/2152/21170.

MLA Handbook (7th Edition):

Cooper, Joseph L., 1980-. “Analysis and synthesis of bipedal humanoid movement : a physical simulation approach.” 2013. Web. 25 Oct 2020.

Vancouver:

Cooper, Joseph L. 1. Analysis and synthesis of bipedal humanoid movement : a physical simulation approach. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/2152/21170.

Council of Science Editors:

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

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

Degree: MSin Computer Sciences, 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 (6th Edition):

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

Chicago Manual of Style (16th Edition):

Zhang, Ruohan. “Action selection in modular reinforcement learning.” 2014. Masters Thesis, University of Texas – Austin. Accessed October 25, 2020. http://hdl.handle.net/2152/25916.

MLA Handbook (7th Edition):

Zhang, Ruohan. “Action selection in modular reinforcement learning.” 2014. Web. 25 Oct 2020.

Vancouver:

Zhang R. Action selection in modular reinforcement learning. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/2152/25916.

Council of Science Editors:

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


University of Texas – Austin

3. -8073-3276. Parameterized modular inverse reinforcement learning.

Degree: MSin Computer Sciences, Computer Science, 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. (Masters 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

Chicago Manual of Style (16th Edition):

-8073-3276. “Parameterized modular inverse reinforcement learning.” 2015. Masters Thesis, University of Texas – Austin. Accessed October 25, 2020. http://hdl.handle.net/2152/46987.

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

MLA Handbook (7th Edition):

-8073-3276. “Parameterized modular inverse reinforcement learning.” 2015. Web. 25 Oct 2020.

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] [Masters thesis]. University of Texas – Austin; 2015. [cited 2020 Oct 25]. 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

Council of Science Editors:

-8073-3276. Parameterized modular inverse reinforcement learning. [Masters 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


University of Texas – Austin

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

Degree: PhD, Computer Science, 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. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32825

Chicago Manual of Style (16th Edition):

Johnson, Leif Morgan. “Redundancy reduction in motor control.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed October 25, 2020. http://hdl.handle.net/2152/32825.

MLA Handbook (7th Edition):

Johnson, Leif Morgan. “Redundancy reduction in motor control.” 2015. Web. 25 Oct 2020.

Vancouver:

Johnson LM. Redundancy reduction in motor control. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/2152/32825.

Council of Science Editors:

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

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