Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach

5 August 2021

Papers citing "Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach"

20 / 20 papers shown

Title
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 81 1 0 01 Dec 2024
Scalable spectral representations for multi-agent reinforcement learning in network MDPs Zhaolin Ren Runyu Zhang Bo Dai 17 0 0 22 Oct 2024
A finite time analysis of distributed Q-learning Han-Dong Lim Donghwan Lee OffRL 32 0 0 23 May 2024
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale Emile Anand Guannan Qu 36 5 0 01 Mar 2024
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning Ali Baheri Mykel J. Kochenderfer OT 22 3 0 18 Jan 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
Continuous-time q-learning for mean-field control problems Xiaoli Wei Xian Yu 23 8 0 28 Jun 2023
On the Statistical Efficiency of Mean Field Reinforcement Learning with General Function Approximation Jiawei Huang Batuhan Yardim Niao He 18 10 0 18 May 2023
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention Min Yang Guanjun Liu Ziyuan Zhou 16 12 0 25 Apr 2023
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games Zhaoyi Zhou Zaiwei Chen Yiheng Lin Adam Wierman 32 7 0 08 Mar 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games Batuhan Yardim Semih Cayci M. Geist Niao He 48 28 0 29 Dec 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 78 15 0 08 Sep 2022
Robust Longitudinal Control for Vehicular Autonomous Platoons Using Deep Reinforcement Learning A. A. Neto L. Mozelli 19 0 0 31 May 2022
Hypergraphon Mean Field Games Kai Cui Wasiur R. KhudaBukhsh Heinz Koeppl AI4CE 20 7 0 30 Mar 2022
Linear convergence of a policy gradient method for some finite horizon continuous time control problems C. Reisinger Wolfgang Stockinger Yufei Zhang 11 5 0 22 Mar 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility Lukas M. Schmidt Johanna Brosig Axel Plinge Bjoern M. Eskofier Christopher Mutschler 28 25 0 15 Mar 2022
STOPS: Short-Term-based Volatility-controlled Policy Search and its Global Convergence Liang Xu Daoming Lyu Yangchen Pan Aiwen Jiang Bo Liu 18 0 0 24 Jan 2022
Learning Graphon Mean Field Games and Approximate Nash Equilibria Kai Cui Heinz Koeppl AI4CE 19 34 0 29 Nov 2021
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning Carlo Alfano Patrick Rebeschini 19 5 0 23 Sep 2021
Reinforcement Learning for Ridesharing: An Extended Survey Zhiwei Qin Hongtu Zhu Jieping Ye 32 83 0 03 May 2021