Provably Efficient Offline Multi-agent Reinforcement Learning via
Strategy-wise Bonus

Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus

1 June 2022

Qiwen Cui

Papers citing "Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus"

7 / 7 papers shown

Title
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games Anran Hu Junzi Zhang 41 5 0 01 May 2024
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose H. Blanchet Miao Lu Tong Zhang Han Zhong OffRL 45 30 0 16 May 2023
Offline Learning in Markov Games with General Function Approximation Yuheng Zhang Yunru Bai Nan Jiang OffRL 26 8 0 06 Feb 2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback Yunchang Yang Hangshi Zhong Tianhao Wu B. Liu Liwei Wang S. Du OffRL 32 8 0 03 Feb 2023
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments Mengxin Yu Zhuoran Yang Jianqing Fan OffRL 34 8 0 23 Aug 2022
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model Gen Li Yuejie Chi Yuting Wei Yuxin Chen 37 18 0 22 Aug 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 100 147 0 13 Jul 2021