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13 Results
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Spotlight
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Thu 3:35 |
Quantifying Differences in Reward Functions Adam Gleave · Michael Dennis · Shane Legg · Stuart Russell · Jan Leike |
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Poster
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Tue 9:00 |
Quantifying Differences in Reward Functions Adam Gleave · Michael Dennis · Shane Legg · Stuart Russell · Jan Leike |
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Poster
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Thu 1:00 |
Learning What To Do by Simulating the Past David Lindner · Rohin Shah · Pieter Abbeel · Anca Dragan |
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Poster
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Thu 17:00 |
Adapting to Reward Progressivity via Spectral Reinforcement Learning Michael Dann · John Thangarajah |
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Poster
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Mon 1:00 |
Solving Compositional Reinforcement Learning Problems via Task Reduction Yunfei Li · Yilin Wu · Huazhe Xu · Xiaolong Wang · Yi Wu |
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Workshop
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Fri 9:00 |
Contributed Talk #2: Reward and Optimality Empowerments: Information-Theoretic Measures for Task Complexity in Deep Reinforcement Learning Hiroki Furuta · Tatsuya Matsushima · Tadashi Kozuno · Yutaka Matsuo · Sergey Levine · Ofir Nachum · Shixiang Gu |
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Poster
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Wed 1:00 |
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization Zhenggang Tang · Chao Yu · Boyuan Chen · Huazhe Xu · Xiaolong Wang · Fei Fang · Simon Du · Yu Wang · Yi Wu |
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Spotlight
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Tue 5:08 |
Mutual Information State Intrinsic Control Rui Zhao · Yang Gao · Pieter Abbeel · Volker Tresp · Wei Xu |
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Poster
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Thu 1:00 |
Balancing Constraints and Rewards with Meta-Gradient D4PG Dan A. Calian · Daniel J Mankowitz · Tom Zahavy · Zhongwen Xu · Junhyuk Oh · Nir Levine · Timothy A Mann |
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Poster
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Mon 1:00 |
Mutual Information State Intrinsic Control Rui Zhao · Yang Gao · Pieter Abbeel · Volker Tresp · Wei Xu |
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Poster
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Mon 9:00 |
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks Ingmar Schubert · Ozgur Oguz · Marc Toussaint |
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Spotlight
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Wed 21:35 |
Regularized Inverse Reinforcement Learning Wonseok Jeon · Chen-Yang Su · Paul Barde · Thang Doan · Derek Nowrouzezahrai · Joelle Pineau |