Sample-Efficient Reinforcement Learning of Partially Observable Markov Games

2 June 2022

Papers citing "Sample-Efficient Reinforcement Learning of Partially Observable Markov Games"

11 / 11 papers shown

Title
Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs Yuheng Zhang Nan Jiang OffRL 61 0 0 03 Mar 2025
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning Bidipta Sarkar Warren Xia C. Karen Liu Dorsa Sadigh LLMAG 48 1 0 09 Feb 2025
Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning Qiaosheng Zhang Chenjia Bai Shuyue Hu Zhen Wang Xuelong Li 37 1 0 30 Apr 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property Ioannis Anagnostides Ioannis Panageas Gabriele Farina T. Sandholm 31 3 0 19 Dec 2023
Sample-Efficient Multi-Agent RL: An Optimization Perspective Nuoya Xiong Zhihan Liu Zhaoran Wang Zhuoran Yang 36 1 0 10 Oct 2023
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations Ruiquan Huang Yitao Liang J. Yang OffRL 24 5 0 01 Jul 2023
Is RLHF More Difficult than Standard RL? Yuanhao Wang Qinghua Liu Chi Jin OffRL 17 57 0 25 Jun 2023
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning Haozhe Jiang Qiwen Cui Zhihan Xiong Maryam Fazel S. Du 29 5 0 12 Jun 2023
On the Statistical Efficiency of Mean Field Reinforcement Learning with General Function Approximation Jiawei Huang Batuhan Yardim Niao He 34 10 0 18 May 2023
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms Fan Chen Yu Bai Song Mei 53 22 0 29 Sep 2022
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent Gabriele Farina Christian Kroer T. Sandholm 46 72 0 28 Jul 2020