Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games

8 June 2022

Papers citing "Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games"

7 / 7 papers shown

Title
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources Chengshuai Shi Wei Xiong Cong Shen Jing Yang OffRL 30 3 0 14 Jun 2023
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning Gen Li Yuling Yan Yuxin Chen Jianqing Fan OffRL 76 12 0 14 Apr 2023
Offline Learning in Markov Games with General Function Approximation Yuheng Zhang Yunru Bai Nan Jiang OffRL 21 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 27 8 0 03 Feb 2023
Offline Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity Imon Banerjee Harsha Honnappa Vinayak A. Rao OffRL 11 0 0 14 Nov 2022
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments Mengxin Yu Zhuoran Yang Jianqing Fan OffRL 21 8 0 23 Aug 2022
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity Laixi Shi Gen Li Yuting Wei Yuxin Chen Yuejie Chi OffRL 36 90 0 28 Feb 2022