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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Decoupling Value and Policy for Generalization in Reinforcement Learning
In Reinforcement Learning 6
Roberta Raileanu · Rob Fergus
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Prioritized Level Replay
In Reinforcement Learning 6
Minqi Jiang · Edward Grefenstette · Tim Rocktäschel
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
In Reinforcement Learning 6
Jim Fan · Guanzhi Wang · De-An Huang · Zhiding Yu · Li Fei-Fei · Yuke Zhu · Anima Anandkumar
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
GMAC: A Distributional Perspective on Actor-Critic Framework
In Reinforcement Learning 6
Daniel Nam · Younghoon Kim · Chan Youn Park
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
In Reinforcement Learning 6
Elliot Chane-Sane · Cordelia Schmid · Ivan Laptev
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Policy Gradient Bayesian Robust Optimization for Imitation Learning
In Reinforcement Learning 6
Zaynah Javed · Daniel Brown · Satvik Sharma · Jerry Zhu · Ashwin Balakrishna · Marek Petrik · Anca Dragan · Ken Goldberg
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
In Reinforcement Learning 6
Ethan Brooks · Janarthanan Rajendran · Richard Lewis · Satinder Singh
[ Paper ]
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Reinforcement Learning 6