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Spotlight
Tue Jul 19 11:30 PM -- 11:35 PM (KST) @ Hall F
Dynamic Regret of Online Markov Decision Processes
In Reinforcement Learning
Peng Zhao · Long-Fei Li · Zhi-Hua Zhou
Spotlight
Tue Jul 19 11:35 PM -- 11:40 PM (KST) @ Hall F
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
In Reinforcement Learning
Robert Loftin · Frans Oliehoek
Spotlight
Tue Jul 19 11:40 PM -- 11:45 PM (KST) @ Hall F
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
In Reinforcement Learning
Harley Wiltzer · David Meger · Marc Bellemare
Spotlight
Tue Jul 19 11:45 PM -- 11:50 PM (KST) @ Hall F
Provable Reinforcement Learning with a Short-Term Memory
In Reinforcement Learning
Yonathan Efroni · Chi Jin · Akshay Krishnamurthy · Sobhan Miryoosefi
Spotlight
Tue Jul 19 11:50 PM -- 11:55 PM (KST) @ Hall F
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
In Reinforcement Learning
Lucas N. Alegre · Ana Lucia Cetertich Bazzan · Bruno C. da Silva
Spotlight
Tue Jul 19 11:55 PM -- 12:00 AM (KST) @ Hall F
Mirror Learning: A Unifying Framework of Policy Optimisation
In Reinforcement Learning
Jakub Grudzien Kuba · Christian Schroeder de Witt · Jakob Foerster
Oral
Wed Jul 20 12:00 AM -- 12:20 AM (KST) @ Hall F
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP
In Reinforcement Learning
Liyu Chen · Rahul Jain · Haipeng Luo
Spotlight
Wed Jul 20 12:20 AM -- 12:25 AM (KST) @ Hall F
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints
In Reinforcement Learning
Liyu Chen · Rahul Jain · Haipeng Luo
Spotlight
Wed Jul 20 12:25 AM -- 12:30 AM (KST) @ Hall F
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
In Reinforcement Learning
Archit Sharma · Rehaan Ahmad · Chelsea Finn
Spotlight
Wed Jul 20 12:30 AM -- 12:35 AM (KST) @ Hall F
Langevin Monte Carlo for Contextual Bandits
In Reinforcement Learning
Pan Xu · Hongkai Zheng · Eric Mazumdar · Kamyar Azizzadenesheli · Animashree Anandkumar
Spotlight
Wed Jul 20 12:35 AM -- 12:40 AM (KST) @ Hall F
Prompting Decision Transformer for Few-Shot Policy Generalization
In Reinforcement Learning
Mengdi Xu · Yikang Shen · Shun Zhang · Yuchen Lu · Ding Zhao · Josh Tenenbaum · Chuang Gan
Spotlight
Wed Jul 20 12:40 AM -- 12:45 AM (KST) @ Hall F
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
In Reinforcement Learning
Shuang Qiu · Lingxiao Wang · Chenjia Bai · Zhuoran Yang · Zhaoran Wang
Spotlight
Wed Jul 20 12:45 AM -- 12:50 AM (KST) @ Hall F
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
In Reinforcement Learning
Xiaoyu Chen · Han Zhong · Zhuoran Yang · Zhaoran Wang · Liwei Wang