Value-Decomposition Networks For Cooperative Multi-Agent Learning

16 June 2017

P. Sunehag

Guy Lever

A. Gruslys

Wojciech M. Czarnecki

Papers citing "Value-Decomposition Networks For Cooperative Multi-Agent Learning"

50 / 453 papers shown

Title
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Y. Sung 11 13 0 04 Jun 2020
Multi-Agent Determinantal Q-Learning Yaodong Yang Ying Wen Lihuan Chen Jun Wang Kun Shao D. Mguni Weinan Zhang 29 71 0 02 Jun 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 31 131 0 28 Apr 2020
Variational Policy Propagation for Multi-agent Reinforcement Learning C. Qu Hui Li Chang-rui Liu Junwu Xiong James Y. Zhang Wei Chu Weiqiang Wang Yuan Qi L. Song 20 0 0 19 Apr 2020
Mimicking Evolution with Reinforcement Learning João Abrantes A. Abrantes F. Oliehoek 19 2 0 31 Mar 2020
FACMAC: Factored Multi-Agent Centralised Policy Gradients Bei Peng Tabish Rashid Christian Schroeder de Witt Pierre-Alexandre Kamienny Philip Torr Wendelin Bohmer Shimon Whiteson 32 252 0 14 Mar 2020
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing Hangyu Mao Zhibo Gong Zhen Xiao 25 16 0 05 Mar 2020
Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph Chuangchuang Sun Macheng Shen Jonathan P. How 6 17 0 02 Mar 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
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning A. Celli Marco Ciccone Raffaele Bongo N. Gatti 25 12 0 16 Dec 2019
Inter-Level Cooperation in Hierarchical Reinforcement Learning Abdul Rahman Kreidieh Yiling You Nathan Lichtlé Samyak Parajuli Rayyan Nasr Alexandre M. Bayen 45 14 0 05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 24 82 0 04 Dec 2019
Agent Probing Interaction Policies Siddharth Ghiya Oluwafemi Azeez Brendan Miller 16 0 0 21 Nov 2019
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning Runsheng Yu Zhenyu Shi Xinrun Wang R. Wang Buhong Liu Xinwen Hou Hanjiang Lai Bo An 16 4 0 18 Nov 2019
Learning Fairness in Multi-Agent Systems Jiechuan Jiang Zongqing Lu 16 69 0 31 Oct 2019
Comparing Observation and Action Representations for Deep Reinforcement Learning in $μ$ RTS Shengyi Huang Santiago Ontañón 18 8 0 26 Oct 2019
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report Sagar Verma Richa Verma P. B. Sujit 26 1 0 17 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 148 355 0 16 Oct 2019
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization Zhi Zhang Jiachen Yang H. Zha 11 42 0 23 Sep 2019
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net Yuchen Xiao Joshua Hoffman Tian Xia Chris Amato 27 27 0 19 Sep 2019
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control S. Zhang Qi Zhang Jieyu Lin 8 99 0 06 Sep 2019
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning Jiancheng Long Hongming Zhang Tianyang Yu Bo Xu 15 0 0 16 Aug 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 14 38 0 28 Jun 2019
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning Wendelin Bohmer Tabish Rashid Shimon Whiteson 8 24 0 05 Jun 2019
Learning Transferable Cooperative Behavior in Multi-Agent Teams Akshat Agarwal Sumit Kumar Katia P. Sycara AI4CE 32 117 0 04 Jun 2019
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning Matthew A. Wright R. Horowitz 17 3 0 31 May 2019
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning Hyunwook Kang Taehwan Kwon Jinkyoo Park J. R. Morrison 21 1 0 29 May 2019
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 8 49 0 28 May 2019
Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem Christian Schroeder de Witt Thomas Hornigold AI4CE 11 8 0 17 May 2019
Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach M. Sharma Alessio Zappone Mohamad Assaad Merouane Debbah S. Vassilaras 21 44 0 01 Apr 2019
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning Jintao Ke F. Xiao Hai Yang Jieping Ye 15 25 0 17 Feb 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 47 932 0 11 Feb 2019
Decentralized Multi-Agents by Imitation of a Centralized Controller A. Lin Mark J. Debord Katia Estabridis G. Hewer Guido Montufar Stanley Osher 15 6 0 06 Feb 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 30 163 0 25 Jan 2019
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies Thomy Phan Kyrill Schmid Lenz Belzner Thomas Gabor Sebastian Feld Claudia Linnhoff-Popien 30 5 0 25 Jan 2019
Robust Temporal Difference Learning for Critical Domains R. Klíma D. Bloembergen Michael Kaisers K. Tuyls AAML 11 11 0 23 Jan 2019
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition Diego Perez-Liebana Katja Hofmann Sharada Mohanty Noburu Kuno André Kramer Sam Devlin Raluca D. Gaina Daniel Ionita LRM 29 35 0 23 Jan 2019
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 82 1,234 0 30 Nov 2018
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG Hangyu Mao Zhengchao Zhang Zhen Xiao Zhibo Gong 25 85 0 13 Nov 2018
Multi-Agent Common Knowledge Reinforcement Learning Christian Schroeder de Witt Jakob N. Foerster Gregory Farquhar Philip Torr Wendelin Bohmer Shimon Whiteson 19 107 0 27 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 6 737 0 05 Oct 2018
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning Jun Feng Heng Li Minlie Huang Shichen Liu Wenwu Ou Zhirong Wang Xiaoyan Zhu 17 70 0 17 Sep 2018
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning Jiachen Yang A. Nakhaei David Isele K. Fujimura H. Zha 29 75 0 13 Sep 2018
Factorized Q-Learning for Large-Scale Multi-Agent Systems M. Zhou Yong Chen Ying Wen Yaodong Yang Yufeng Su Weinan Zhang Dell Zhang Jun Wang AI4CE 32 68 0 11 Sep 2018
Multi-Agent Reinforcement Learning: A Report on Challenges and Approaches Sanyam Kapoor 27 31 0 25 Jul 2018
Deep Reinforcement Learning for Swarm Systems Maximilian Hüttenrauch Adrian Šošić Gerhard Neumann 16 196 0 17 Jul 2018
QMIX: 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 84 1,656 0 30 Mar 2018
Inequity aversion improves cooperation in intertemporal social dilemmas Edward Hughes Joel Z Leibo Matthew Phillips K. Tuyls Edgar A. Duénez-Guzmán ... Tina Zhu Kevin R. McKee Raphael Köster H. Roff T. Graepel 30 204 0 23 Mar 2018
Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach Weixun Wang Jianye Hao Yixi Wang Matthew E. Taylor 10 32 0 01 Mar 2018