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Workshop
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Fri 14:00
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Abstraction & Meta-Reinforcement Learning
David Abel
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Poster
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Wed 17:00
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Unsupervised Curricula for Visual Meta-Reinforcement Learning
Allan Jabri · Kyle Hsu · Abhishek Gupta · Benjamin Eysenbach · Sergey Levine · Chelsea Finn
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Workshop
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Sat 10:00
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Bayes-Adaptive Deep Reinforcement Learning via Meta-Learning - Invited Talk
Shimon Whiteson
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Poster
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Tue 10:45
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Provably Efficient Q-Learning with Low Switching Cost
Yu Bai · Tengyang Xie · Nan Jiang · Yu-Xiang Wang
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Poster
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Thu 10:45
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Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
Baoxiang Wang · Nidhi Hegde
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Poster
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Tue 17:30
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Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
Simon Du · Yuping Luo · Ruosong Wang · Hanrui Zhang
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Poster
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Wed 17:00
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Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
Shuyue Hu · Chin-wing Leung · Ho-fung Leung
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Poster
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Wed 17:00
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Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar · Justin Fu · George Tucker · Sergey Levine
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Workshop
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Sat 11:30
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Deep reinforcement learning for 2D soft body locomotion
Junior Rojas
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Workshop
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Sat 14:00
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Reinforcement Learning Beyond Optimization
Benjamin Van Roy
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Workshop
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Fri 14:00
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Nathan Kallus: Efficiently Breaking the Curse of Horizon with Double Reinforcement Learning
Nathan Kallus
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Workshop
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Sat 8:10
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Unsupervised State Embedding and Aggregation towards Scalable Reinforcement Learning
Mengdi Wang
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