Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

24 November 2019

Papers citing "Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms"

20 / 170 papers shown

Title
Interpreting Graph Drawing with Multi-Agent Reinforcement Learning Ilkin Safarli Youjia Zhou Bei Wang 19 0 0 02 Nov 2020
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning Harald Bayerlein Mirco Theile Marco Caccamo David Gesbert 29 120 0 23 Oct 2020
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime Andrea Agazzi Jianfeng Lu 13 15 0 22 Oct 2020
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning Shen Ren Qianxiao Li Liye Zhang Zheng Qin Bo Yang 19 0 0 22 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
Competing AI: How does competition feedback affect machine learning? Antonio A. Ginart Eva Zhang Yongchan Kwon James Zou AAML 13 0 0 15 Sep 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 27 174 0 24 Jul 2020
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kaipeng Zhang Sham Kakade Tamer Bacsar Lin F. Yang 47 119 0 15 Jul 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning Lingxiao Wang Zhuoran Yang Zhaoran Wang 27 26 0 21 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 23 69 0 11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 24 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
Reinforcement Learning in Economics and Finance Arthur Charpentier Romuald Elie Carl Remlinger OffRL 19 148 0 22 Mar 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium Qiaomin Xie Yudong Chen Zhaoran Wang Zhuoran Yang 25 124 0 17 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
Provable Self-Play Algorithms for Competitive Reinforcement Learning Yu Bai Chi Jin SSL 14 148 0 10 Feb 2020
Scalable Reinforcement Learning for Multi-Agent Networked Systems Guannan Qu Adam Wierman Na Li 16 32 0 05 Dec 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 48 412 0 11 Aug 2019
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 114 595 0 28 Feb 2017