Poster

Wed 15:30

Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
Pihe Hu · Yu Chen · Longbo Huang

Spotlight

Wed 8:40

Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
Pihe Hu · Yu Chen · Longbo Huang

Poster

Thu 15:00

Learning Stochastic Shortest Path with Linear Function Approximation
Yifei Min · Jiafan He · Tianhao Wang · Quanquan Gu

Spotlight

Thu 8:40

Learning Stochastic Shortest Path with Linear Function Approximation
Yifei Min · Jiafan He · Tianhao Wang · Quanquan Gu

Spotlight

Thu 8:30

A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Tong Zhang

Poster

Thu 15:00

A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Tong Zhang

Spotlight

Wed 7:50

The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Chi Jin · Qinghua Liu · Tiancheng Yu

Poster

Wed 15:30

The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Chi Jin · Qinghua Liu · Tiancheng Yu

Spotlight

Thu 11:50

Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
Huang Bojun

Poster

Thu 15:00

Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
Huang Bojun

Poster

Tue 15:30

Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
Xiaoyu Chen · Han Zhong · Zhuoran Yang · Zhaoran Wang · Liwei Wang

Spotlight

Tue 8:45

Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
Xiaoyu Chen · Han Zhong · Zhuoran Yang · Zhaoran Wang · Liwei Wang