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Poster
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Wed 15:30
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Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
Pihe Hu · Yu Chen · Longbo Huang
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Spotlight
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Wed 8:40
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Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
Pihe Hu · Yu Chen · Longbo Huang
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Poster
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Thu 15:00
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Learning Stochastic Shortest Path with Linear Function Approximation
Yifei Min · Jiafan He · Tianhao Wang · Quanquan Gu
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Spotlight
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Thu 8:40
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Learning Stochastic Shortest Path with Linear Function Approximation
Yifei Min · Jiafan He · Tianhao Wang · Quanquan Gu
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Spotlight
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Thu 8:30
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A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Tong Zhang
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Poster
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Thu 15:00
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A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Tong Zhang
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Spotlight
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Wed 7:50
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The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Chi Jin · Qinghua Liu · Tiancheng Yu
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Poster
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Wed 15:30
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The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Chi Jin · Qinghua Liu · Tiancheng Yu
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Spotlight
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Thu 11:50
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Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
Huang Bojun
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Poster
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Thu 15:00
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Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
Huang Bojun
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Poster
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Tue 15:30
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Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
Xiaoyu Chen · Han Zhong · Zhuoran Yang · Zhaoran Wang · Liwei Wang
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Spotlight
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Tue 8:45
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Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
Xiaoyu Chen · Han Zhong · Zhuoran Yang · Zhaoran Wang · Liwei Wang
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