Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning

21 June 2020

Papers citing "Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning"

19 / 19 papers shown

Title
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning Batuhan Yardim Niao He AI4CE 41 5 0 27 Aug 2024
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm Fuzhong Zhou Chenyu Zhang Xu Chen Xuan Di 28 2 0 08 May 2024
When is Mean-Field Reinforcement Learning Tractable and Relevant? Batuhan Yardim Artur Goldman Niao He 21 7 0 08 Feb 2024
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin Yan Li Yue Yu Qingru Zhang Zhehui Chen Simiao Zuo Chao Zhang Songan Zhang Tuo Zhao OOD AAML 23 16 0 16 Oct 2023
Learning Regularized Monotone Graphon Mean-Field Games Fengzhuo Zhang Vincent Y. F. Tan Zhaoran Wang Zhuoran Yang 45 7 0 12 Oct 2023
Amortized Network Intervention to Steer the Excitatory Point Processes Zitao Song Wendi Ren Sourav Garg 16 1 0 06 Oct 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 24 18 0 12 Jul 2023
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning Matej Jusup Barna Pásztor Tadeusz Janik Kecheng Zhang F. Corman Andreas Krause Ilija Bogunovic 29 3 0 29 Jun 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 40 2 0 05 Jun 2023
Population-size-Aware Policy Optimization for Mean-Field Games Pengdeng Li Xinrun Wang Shuxin Li Hau Chan Bo An 18 2 0 07 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei Akilesh Badrinaaraayanan Amit Sinha Mohammad Amini Janarthanan Rajendran Aditya Mahajan Sarath Chandar 23 13 0 06 Feb 2023
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits Abheek Ghosh Dheeraj M. Nagaraj Manish Jain Milind Tambe 11 9 0 31 Oct 2022
Minimax Optimal Kernel Operator Learning via Multilevel Training Jikai Jin Yiping Lu Jose H. Blanchet Lexing Ying 18 11 0 28 Sep 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL Fengzhuo Zhang Boyi Liu Kaixin Wang Vincent Y. F. Tan Zhuoran Yang Zhaoran Wang OffRL LRM 49 10 0 20 Sep 2022
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning Kai Cui Anam Tahir Gizem Ekinci Ahmed Elshamanhory Yannick Eich Mengguang Li Heinz Koeppl AI4CE 87 15 0 08 Sep 2022
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 18 41 0 08 Jul 2021
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach Yan Li Lingxiao Wang Jiachen Yang Ethan Wang Zhaoran Wang T. Zhao H. Zha 16 22 0 18 May 2021
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 13 21 0 17 Apr 2020
A General Framework for Learning Mean-Field Games Xin Guo Anran Hu Renyuan Xu Junzi Zhang OffRL AI4CE 27 49 0 13 Mar 2020