Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

19 March 2020

Tabish Rashid

Mikayel Samvelyan

Christian Schroeder de Witt

Papers citing "Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning"

46 / 296 papers shown

Title
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification L. Pan Longbo Huang Tengyu Ma Huazhe Xu OffRL OnRL 27 51 0 22 Nov 2021
Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation Martin Figura Yixuan Lin Ji Liu V. Gupta AAML 13 3 0 12 Nov 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind Yuan-Fang Wang Fangwei Zhong Jing Xu Yizhou Wang LLMAG 19 68 0 15 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 46 25 0 01 Oct 2021
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments Vasilii Davydov Alexey Skrynnik Konstantin Yakovlev Aleksandr I. Panov 8 3 0 13 Aug 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z. Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 50 101 0 14 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments Kai Liu Yuyang Zhao Gang Wang Bei Peng 20 18 0 01 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 26 87 0 29 Jun 2021
Towards Distraction-Robust Active Visual Tracking Fangwei Zhong Peng Sun Wenhan Luo Tingyun Yan Yizhou Wang AAML 17 33 0 18 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 16 32 0 31 May 2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition Bo Liu Qiang Liu Peter Stone Animesh Garg Yuke Zhu Anima Anandkumar 25 49 0 18 May 2021
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients Bozhidar Vasilev Tarun Gupta Bei Peng Shimon Whiteson 6 1 0 27 Apr 2021
Joint Attention for Multi-Agent Coordination and Social Learning Dennis Lee Natasha Jaques Chase Kew Jiaxing Wu Douglas Eck Dale Schuurmans Aleksandra Faust 14 8 0 15 Apr 2021
Two-stage training algorithm for AI robot soccer Taeyoung Kim L. Vecchietti Kyujin Choi Sanem Sariel Dongsoo Har 21 6 0 13 Apr 2021
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning Quanlin Chen OffRL 23 0 0 05 Apr 2021
Regularized Softmax Deep Multi-Agent $Q$ -Learning L. Pan Tabish Rashid Bei Peng Longbo Huang Shimon Whiteson 30 31 0 22 Mar 2021
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication Kalesha Bullard Douwe Kiela Franziska Meier Joelle Pineau Jakob N. Foerster 25 20 0 14 Mar 2021
XDO: A Double Oracle Algorithm for Extensive-Form Games Stephen Marcus McAleer John Lanier Kevin A. Wang Pierre Baldi Roy Fox 11 52 0 11 Mar 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning Jianzhun Shao Hongchang Zhang Yuhang Jiang Shuncheng He Xiangyang Ji 24 5 0 24 Feb 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents Wei Qiu Xinrun Wang Runsheng Yu Xu He R. Wang Bo An S. Obraztsova Zinovi Rabinovich 14 50 0 16 Feb 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Wei-Fang Sun Cheng-Kuang Lee Chun-Yi Lee OffRL 8 48 0 16 Feb 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing Filippos Christianos Georgios Papoudakis Arrasy Rahman Stefano V. Albrecht 12 114 0 15 Feb 2021
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information Douglas De Rizzo Meneghetti Reinaldo A. C. Bianchi AI4CE 17 0 0 14 Dec 2020
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? Christian Schroeder de Witt Tarun Gupta Denys Makoviichuk Viktor Makoviychuk Philip H. S. Torr Mingfei Sun Shimon Whiteson 19 319 0 18 Nov 2020
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning Tarun Gupta Anuj Mahajan Bei Peng Wendelin Bohmer Shimon Whiteson OffRL 6 49 0 06 Oct 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Vitaly Kurin Maximilian Igl Tim Rocktaschel Wendelin Boehmer Shimon Whiteson AI4CE 13 85 0 05 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 14 202 0 04 Oct 2020
Learning to Play against Any Mixture of Opponents Max O. Smith Thomas W. Anthony Yongzhao Wang Michael P. Wellman OffRL 17 9 0 29 Sep 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 19 174 0 24 Jul 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 21 63 0 07 Jun 2020
Logical Team Q-learning: An approach towards factored policies in cooperative MARL Lucas Cassano A. H. Sayed OffRL 25 2 0 05 Jun 2020
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning Zhenhui Ye Yining Chen Guang-hua Song Bowei Yang Sheng Fan OffRL 18 7 0 19 May 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 55 210 0 18 Mar 2020
FACMAC: Factored Multi-Agent Centralised Policy Gradients Bei Peng Tabish Rashid Christian Schroeder de Witt Pierre-Alexandre Kamienny Philip H. S. Torr Wendelin Bohmer Shimon Whiteson 16 248 0 14 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 18 52 0 10 Feb 2020
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning Yaodong Yang Jianye Hao B. Liao Kun Shao Guangyong Chen Wulong Liu Hongyao Tang OffRL 11 184 0 10 Feb 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 133 355 0 16 Oct 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 40 408 0 11 Aug 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 6 37 0 28 Jun 2019
On Multi-Agent Learning in Team Sports Games Yunqi Zhao Igor Borovikov J. Rupert C. Somers Ahmad Beirami 18 14 0 25 Jun 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 16 1 0 29 May 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 18 784 0 14 May 2019
Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning Jacopo Castellini F. Oliehoek Rahul Savani Shimon Whiteson 12 3 0 20 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 H. S. Torr Jakob N. Foerster Shimon Whiteson 16 930 0 11 Feb 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 109 595 0 28 Feb 2017