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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 10:00 AM -- 10:20 AM (KST)
Decoupling Value and Policy for Generalization in Reinforcement Learning
In Reinforcement Learning 6
Roberta Raileanu · Rob Fergus
[ Paper ]
Spotlight
Wed Jul 21 10:20 AM -- 10:25 AM (KST)
Prioritized Level Replay
In Reinforcement Learning 6
Minqi Jiang · Edward Grefenstette · Tim Rocktäschel
[ Paper ]
Spotlight
Wed Jul 21 10:25 AM -- 10:30 AM (KST)
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
Wed Jul 21 10:30 AM -- 10:35 AM (KST)
GMAC: A Distributional Perspective on Actor-Critic Framework
In Reinforcement Learning 6
Daniel Nam · Younghoon Kim · Chan Youn Park
[ Paper ]
Spotlight
Wed Jul 21 10:35 AM -- 10:40 AM (KST)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
In Reinforcement Learning 6
Elliot Chane-Sane · Cordelia Schmid · Ivan Laptev
[ Paper ]
Spotlight
Wed Jul 21 10:40 AM -- 10:45 AM (KST)
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
Wed Jul 21 10:45 AM -- 10:50 AM (KST)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
In Reinforcement Learning 6
Ethan Brooks · Janarthanan Rajendran · Richard Lewis · Satinder Singh
[ Paper ]
Q&A
Wed Jul 21 10:50 AM -- 10:55 AM (KST)
Q&A
In Reinforcement Learning 6