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Discussion Panel: Ryan Adams, Nicolas Heess, Leslie Kaelbling, Shie Mannor, Emo Todorov (moderator: Roy Fox)
Ryan Adams · Nicolas Heess · Leslie Kaelbling · Shie Mannor · Emo Todorov · Roy Fox

Sat Dec 08 02:00 PM -- 03:00 PM (PST) @
in Infer to Control: Probabilistic Reinforcement Learning and Structured Control »

Author Information

Ryan Adams (Princeton University)
Nicolas Heess (Google DeepMind)
Leslie Kaelbling (MIT)
Shie Mannor (Technion)
Emo Todorov (University of Washington)
Roy Fox (UC Berkeley)
Roy Fox

[Roy Fox](royf.org) is an Assistant Professor and director of the Intelligent Dynamics Lab at the Department of Computer Science at UCI. His research interests include theory and applications of reinforcement learning, algorithmic game theory, information theory, and robotics. His current research focuses on structure, exploration, and optimization in deep reinforcement learning and imitation learning of virtual and physical agents and multi-agent systems. He was previously a postdoc at UC Berkeley, where he developed algorithms and systems that interact with humans to learn structured control policies for robotics and program synthesis.

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