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257 Results
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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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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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Oral
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Mon 18:15 |
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics Yonathan Efroni · Dipendra Kumar Misra · Akshay Krishnamurthy · Alekh Agarwal · John Langford |
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Poster
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Wed 10:30 |
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics Yonathan Efroni · Dipendra Kumar Misra · Akshay Krishnamurthy · Alekh Agarwal · John Langford |
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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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Spotlight
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Wed 10:30 |
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang · Wei Xu · Haonan Yu |
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Poster
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Mon 18:30 |
Is High Variance Unavoidable in RL? A Case Study in Continuous Control Johan Bjorck · Carla Gomes · Kilian Weinberger |
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Workshop
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Fri 11:02 |
Sifting the Signal from the Noise Daniel Herrmann · Jacob VanDrunen |
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Workshop
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Gauge Equivariant Deep Q-Learning on Discrete Manifolds Sourya Basu · Pulkit Katdare · Katherine Driggs-Campbell · Lav R Varshney |
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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 |