A Review of Cooperative Multi-Agent Deep Reinforcement Learning

11 August 2019

Papers citing "A Review of Cooperative Multi-Agent Deep Reinforcement Learning"

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Title
TarMAC: Targeted Multi-Agent Communication Abhishek Das Théophile Gervet Joshua Romoff Dhruv Batra Devi Parikh Michael G. Rabbat Joelle Pineau 101 386 0 26 Oct 2018
Multi-Agent Actor-Critic with Generative Cooperative Policy Network Heechang Ryu Hayong Shin Jinkyoo Park 36 12 0 22 Oct 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 53 337 0 22 Oct 2018
Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates Lucas Cassano Kun Yuan Ali H. Sayed 50 40 0 17 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 108 559 0 12 Oct 2018
A Distributed Reinforcement Learning Solution With Knowledge Transfer Capability for A Bike Rebalancing Problem Ian Xiao 37 7 0 09 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 67 751 0 05 Oct 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 74 53 0 29 Sep 2018
Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction Hongyao Tang Jianye Hao Tangjie Lv Yingfeng Chen Zongzhang Zhang ... Chunxu Ren Yan Zheng Zhaopeng Meng Changjie Fan Li Wang OffRL 33 23 0 25 Sep 2018
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions Chengwei Zhang Xiaohong Li Jianye Hao Siqi Chen K. Tuyls Zhiyong Feng Wanli Xue Rong Chen 13 3 0 18 Sep 2018
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning Jiachen Yang A. Nakhaei David Isele K. Fujimura H. Zha 64 76 0 13 Sep 2018
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning Guillaume Sartoretti Justin Kerr Yunfei Shi Glenn Wagner T. K. S. Kumar Sven Koenig Howie Choset 89 316 0 10 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 78 819 0 07 Sep 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 78 607 0 18 Jun 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization Hoi-To Wai Zhuoran Yang Zhaoran Wang Mingyi Hong 56 170 0 03 Jun 2018
Learning Attentional Communication for Multi-Agent Cooperation Jiechuan Jiang Zongqing Lu 63 487 0 20 May 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 172 5,182 0 26 Feb 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 70 589 0 23 Feb 2018
Machine Theory of Mind Neil C. Rabinowitz Frank Perbet H. F. Song Chiyuan Zhang S. M. Ali Eslami M. Botvinick AI4CE 124 475 0 21 Feb 2018
Mean Field Multi-Agent Reinforcement Learning Yaodong Yang Rui Luo Minne Li M. Zhou Weinan Zhang Jun Wang AI4CE 61 574 0 15 Feb 2018
Reinforcement Learning for Solving the Vehicle Routing Problem M. Nazari Afshin Oroojlooy L. Snyder Martin Takáč 73 902 0 12 Feb 2018
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data Y. Liu Ning Liu B. Logan Zhiyuan Xu Jian Tang Yanzhi Wang OffRL OOD 62 102 0 28 Jan 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 77 52 0 10 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 122 338 0 07 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 305 8,334 0 04 Jan 2018
RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang Richard Liaw Philipp Moritz Robert Nishihara Roy Fox Ken Goldberg Joseph E. Gonzalez Michael I. Jordan Ion Stoica OffRL AI4CE 63 175 0 26 Dec 2017
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 100 1,258 0 16 Dec 2017
Multi-focus Attention Network for Efficient Deep Reinforcement Learning Jinyoung Choi Beom-Jin Lee Byoung-Tak Zhang 46 48 0 13 Dec 2017
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments Manolis Savva Angel X. Chang Alexey Dosovitskiy Thomas Funkhouser V. Koltun 81 247 0 11 Dec 2017
A Deeper Look at Experience Replay Shangtong Zhang R. Sutton OffRL VLM 68 275 0 04 Dec 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 102 636 0 02 Nov 2017
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning Sergio Valcarcel Macua Aleksi Tukiainen D. Hernández David Baldazo Enrique Munoz de Cote S. Zazo 61 29 0 28 Oct 2017
The Effects of Memory Replay in Reinforcement Learning Ruishan Liu James Zou VLM 39 112 0 18 Oct 2017
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning Xiangxiang Chu Hangjun Ye 58 56 0 01 Oct 2017
A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems Afshin Oroojlooyjadid M. Nazari L. Snyder Martin Takáč 42 38 0 20 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 493 19,019 0 20 Jul 2017
VAIN: Attentional Multi-agent Predictive Modeling Yedid Hoshen GNN 97 238 0 19 Jun 2017
Hybrid Reward Architecture for Reinforcement Learning H. V. Seijen Mehdi Fatemi Joshua Romoff Romain Laroche Tavian Barnes Jeffrey Tsang 36 253 0 13 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 692 131,526 0 12 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 140 4,482 0 07 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 122 2,074 0 24 May 2017
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games Peng Peng Ying Wen Yaodong Yang Quan Yuan Zhenkun Tang Haitao Long Jun Wang 65 335 0 29 Mar 2017
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning Abhishek Das Satwik Kottur J. M. F. Moura Stefan Lee Dhruv Batra OffRL 110 425 0 20 Mar 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability Shayegan Omidshafiei Jason Pazis Chris Amato Jonathan P. How J. Vian 127 498 0 17 Mar 2017
Emergence of Grounded Compositional Language in Multi-Agent Populations Igor Mordatch Pieter Abbeel LLMAG 113 702 0 15 Mar 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 84 905 0 03 Mar 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 186 597 0 28 Feb 2017
Multi-agent Reinforcement Learning in Sequential Social Dilemmas Joel Z Leibo V. Zambaldi Marc Lanctot J. Marecki T. Graepel 73 608 0 10 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 164 1,536 0 25 Jan 2017
Multi-Agent Cooperation and the Emergence of (Natural) Language Angeliki Lazaridou A. Peysakhovich Marco Baroni LLMAG 115 432 0 21 Dec 2016