Mean Field Multi-Agent Reinforcement Learning

15 February 2018

Jun Wang

Papers citing "Mean Field Multi-Agent Reinforcement Learning"

50 / 114 papers shown

Title
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning Carlo Alfano Patrick Rebeschini 47 5 0 23 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 33 19 0 14 Sep 2021
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games Xiaotie Deng Ningyuan Li D. Mguni Jun Wang Yaodong Yang 26 46 0 04 Sep 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 24 7 0 30 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 24 59 0 19 Aug 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 27 3 0 10 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning Iou-Jen Liu Zhongzheng Ren Raymond A. Yeh Alex Schwing 32 15 0 06 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 13 40 0 29 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh Alex Schwing 42 104 0 23 Jul 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 28 41 0 08 Jul 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 43 11 0 12 Jun 2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising Chao Wen Miao Xu Zhilin Zhang Zhenzhe Zheng Yuhui Wang ... Jian Xu Fan Wu Guihai Chen Xiaoqiang Zhu Bo Zheng 29 15 0 11 Jun 2021
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint M. Geist Julien Pérolat Mathieu Laurière Romuald Elie Sarah Perrin Olivier Bachem Rémi Munos Olivier Pietquin 42 63 0 07 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning Jiahui Li Kun Kuang Baoxiang Wang Furui Liu Long Chen Fei Wu Jun Xiao OffRL 25 60 0 01 Jun 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts Weinan Zhang Xihuai Wang Jian Shen Ming Zhou 27 35 0 07 May 2021
Reinforcement Learning for Ridesharing: An Extended Survey Zhiwei Qin Hongtu Zhu Jieping Ye 44 84 0 03 May 2021
Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward Xiong Wang Riheng Jia 25 4 0 03 May 2021
Learning in Nonzero-Sum Stochastic Games with Potentials D. Mguni Yutong Wu Yali Du Yaodong Yang Ziyi Wang Minne Li Ying Wen Joel Jennings Jun Wang 32 45 0 16 Mar 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing Filippos Christianos Georgios Papoudakis Arrasy Rahman Stefano V. Albrecht 25 114 0 15 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 69 91 0 02 Feb 2021
Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents A. Ghosh Vaneet Aggarwal 34 7 0 31 Dec 2020
Multi-Agent Reinforcement Learning for Markov Routing Games: A New Modeling Paradigm For Dynamic Traffic Assignment Zhenyu Shou Xu Chen Yongjie Fu Xuan Di 10 40 0 22 Nov 2020
Thompson sampling for linear quadratic mean-field teams Mukul Gagrani Sagar Sudhakara Aditya Mahajan A. Nayyar Ouyang Yi 23 4 0 09 Nov 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 139 193 0 19 Oct 2020
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting B. Guha A. Bhattacharya D. Pati 31 2 0 19 Oct 2020
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network Jiqian Dong Sikai Chen P. Ha Yujie Li S. Labi 13 37 0 12 Oct 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control Qingrui Zhang Hao Dong Wei Pan 29 6 0 20 Sep 2020
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation Yue Guan Qifan Zhang Panagiotis Tsiotras 11 7 0 01 Sep 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 35 175 0 24 Jul 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning Lingxiao Wang Zhuoran Yang Zhaoran Wang 32 26 0 21 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 33 69 0 11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 34 38 0 11 Jun 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 25 21 0 17 Apr 2020
Multi-agent Reinforcement Learning for Networked System Control Tianshu Chu Sandeep P. Chinchali Sachin Katti 28 108 0 03 Apr 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 67 773 0 19 Mar 2020
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal Control Junjia Liu Huimin Zhang Zhuang Fu Yao Wang 21 2 0 27 Feb 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu 32 65 0 10 Feb 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning Yaodong Yang Jianye Hao Guangyong Chen Hongyao Tang Yingfeng Chen Yujing Hu Changjie Fan Zhongyu Wei 23 52 0 10 Feb 2020
Multi Type Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Pascal Poupart Matthew E. Taylor N. Hegde AI4CE 18 54 0 06 Feb 2020
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator Yuwei Luo Zhuoran Yang Zhaoran Wang Mladen Kolar 26 9 0 14 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 63 1,184 0 24 Nov 2019
Learning Fairness in Multi-Agent Systems Jiechuan Jiang Zongqing Lu 16 69 0 31 Oct 2019
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning René Carmona Mathieu Laurière Zongjun Tan OffRL 37 97 0 28 Oct 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning Nicolas Carion Gabriel Synnaeve A. Lazaric Nicolas Usunier 30 29 0 19 Oct 2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games Zuyue Fu Zhuoran Yang Yongxin Chen Zhaoran Wang 27 54 0 16 Oct 2019
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods René Carmona Mathieu Laurière Zongjun Tan 43 61 0 09 Oct 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 21 174 0 27 Sep 2019
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 98 92 0 08 Sep 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning Weixun Wang Tianpei Yang Y. Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao AI4CE 24 110 0 06 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 56 413 0 11 Aug 2019