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Poster
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Mon 10:30 |
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov · Ashvin Nair · Sergey Levine |
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Poster
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Wed 18:30 |
Convergent and Efficient Deep Q Learning Algorithm Zhikang T Wang · Masahito Ueda |
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Poster
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Wed 10:30 |
Hindsight Foresight Relabeling for Meta-Reinforcement Learning Michael Wan · Jian Peng · Tanmay Gangwani |
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Poster
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Mon 18:30 |
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities Jianda Chen · Sinno Pan |
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Oral
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Wed 9:00 |
Bootstrapped Meta-Learning Sebastian Flennerhag · Yannick Schroecker · Tom Zahavy · Hado van Hasselt · David Silver · Satinder Singh |
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Poster
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Tue 10:30 |
Bootstrapped Meta-Learning Sebastian Flennerhag · Yannick Schroecker · Tom Zahavy · Hado van Hasselt · David Silver · Satinder Singh |
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Poster
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Tue 18:30 |
Skill-based Meta-Reinforcement Learning Taewook Nam · Shao-Hua Sun · Karl Pertsch · Sung Ju Hwang · Joseph Lim |
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Spotlight
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Wed 10:30 |
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine |
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Poster
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Wed 10:30 |
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine |
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Poster
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Wed 10:30 |
Memory Augmented Optimizers for Deep Learning Paul-Aymeric McRae · Prasanna Parthasarathi · Mido Assran · Sarath Chandar |
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Oral Session
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Tue 1:00 |
Oral 2: Understanding Deep Learning |
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Poster
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Mon 10:30 |
Deep AutoAugment Yu Zheng · Zhi Zhang · Shen Yan · Mi Zhang |