Multiagent Soft Q-Learning

25 April 2018

Papers citing "Multiagent Soft Q-Learning"

24 / 24 papers shown

Title
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning Maxime Toquebiau Nicolas Bredeche F. Benamar Jae-Yun Jun 36 1 0 06 Feb 2024
Curriculum Learning for Relative Overgeneralization Lin Shi Bei Peng 28 1 0 06 Dec 2022
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning Lipeng Wan Zeyang Liu Xingyu Chen Xuguang Lan Han Wang 53 12 0 22 Nov 2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 27 0 0 02 Nov 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 44 50 0 21 Sep 2022
Multi-agent Actor-Critic with Time Dynamical Opponent Model Yuan Tian Klaus-Rudolf Kladny Qin Wang Zhiwu Huang Olga Fink AI4CE 26 7 0 12 Apr 2022
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning Xiaobai Ma David Isele Jayesh K. Gupta K. Fujimura Mykel J. Kochenderfer 14 5 0 06 Mar 2022
Emergence of Theory of Mind Collaboration in Multiagent Systems Luyao Yuan Zipeng Fu Linqi Zhou Kexin Yang Song-Chun Zhu 51 10 0 30 Sep 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 28 32 0 31 May 2021
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning Jianhong Wang Yuan Zhang Yunjie Gu Tae-Kyun Kim OffRL FAtt 22 19 0 31 May 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
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios Christoph Killing Adam R. Villaflor John M. Dolan 33 5 0 22 Mar 2021
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning Jian Hu Siyang Jiang Seth Austin Harding Haibin Wu Shihua Liao 24 86 0 06 Feb 2021
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 33 346 0 18 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
A Generalized Training Approach for Multiagent Learning Paul Muller Shayegan Omidshafiei Mark Rowland K. Tuyls Julien Perolat ... Zhe Wang Guy Lever N. Heess T. Graepel Rémi Munos 28 89 0 27 Sep 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 21 174 0 27 Sep 2019
A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian Ying Wen Zhichen Gong Faiz Punakkath Shihao Zou Jun Wang 30 31 0 17 May 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 32 52 0 26 Jan 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 48 553 0 12 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 6 738 0 05 Oct 2018
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning Gregory Palmer Rahul Savani K. Tuyls 28 27 0 13 Sep 2018
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 134 596 0 28 Feb 2017