681194
event
1742248462
1742248635
<![CDATA[Ph.D. Proposal Oral Exam - Zixuan Wu]]>
Title: Model-assisted Reinforcement and Imitation Learning in Adversarial-Collaborative Robotic SystemsCommittee:
Dr. Gombolay, Advisor
Dr. Vela, Chair
Dr. Ravichandar
]]>
-
-
The objective of the proposed research is to show constructing agent behavior or intention models can enable reinforcement learning (RL) training in partially observable environments and help IL knowledge transferring from expert domain to real-world robotic systems. My approaches will be validated in pursuit-evasion games, adversarial communications, and real-world wheelchair tennis robot systems.]]>
-
-
-
-
-
-
-
-
<![CDATA[]]>
-
-
- 434371
-
1788
-
102851
-
1808