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Spotlight
Wed 11:35 Denoised MDPs: Learning World Models Better Than the World Itself
Tongzhou Wang · Simon Du · Antonio Torralba · Phillip Isola · Amy Zhang · Yuandong Tian
Spotlight
Thu 8:55 Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
Haoyuan Cai · Tengyu Ma · Simon Du
Poster
Wed 15:30 LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
David Ireland · Giovanni Montana
Spotlight
Tue 7:30 Dynamic Regret of Online Markov Decision Processes
Peng Zhao · Long-Fei Li · Zhi-Hua Zhou
Spotlight
Tue 8:20 Learning Infinite-horizon Average-reward Markov Decision Process with Constraints
Liyu Chen · Rahul Jain · Haipeng Luo
Spotlight
Tue 13:25 Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
Pier Giuseppe Sessa · Maryam Kamgarpour · Andreas Krause
Spotlight
Thu 13:25 Making Linear MDPs Practical via Contrastive Representation Learning
Tianjun Zhang · Tongzheng Ren · Mengjiao Yang · Joseph E Gonzalez · Dale Schuurmans · Bo Dai
Spotlight
Thu 11:10 Model Selection in Batch Policy Optimization
Jonathan Lee · George Tucker · Ofir Nachum · Bo Dai
Poster
Thu 15:00 Online Decision Transformer
Qinqing Zheng · Amy Zhang · Aditya Grover
Spotlight
Thu 11:55 Constrained Variational Policy Optimization for Safe Reinforcement Learning
Zuxin Liu · Zhepeng Cen · Vladislav Isenbaev · Wei Liu · Steven Wu · Bo Li · Ding Zhao
Oral
Thu 13:15 Online Decision Transformer
Qinqing Zheng · Amy Zhang · Aditya Grover
Poster
Thu 15:00 Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine