Actor-Attention-Critic for Multi-Agent Reinforcement Learning

5 October 2018

Papers citing "Actor-Attention-Critic for Multi-Agent Reinforcement Learning"

31 / 281 papers shown

Title
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 67 774 0 19 Mar 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 57 213 0 18 Mar 2020
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous Rose E. Wang J. Kew Dennis Lee T. Lee Tingnan Zhang Brian Ichter Jie Tan Aleksandra Faust 19 2 0 15 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 32 253 0 14 Mar 2020
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles Songyang Han Shangli Zhou Jiangwei Wang Lynn Pepin Caiwen Ding Jie Fu Fei Miao 34 22 0 09 Mar 2020
Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph Chuangchuang Sun Macheng Shen Jonathan P. How 14 17 0 02 Mar 2020
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal Control Junjia Liu Huimin Zhang Zhuang Fu Yao Wang 27 2 0 27 Feb 2020
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic Wonseok Jeon Paul Barde Derek Nowrouzezahrai Joelle Pineau 12 11 0 24 Feb 2020
Learning Multi-Agent Coordination through Connectivity-driven Communication E. Pesce Giovanni Montana 24 15 0 12 Feb 2020
Learning Structured Communication for Multi-agent Reinforcement Learning Junjie Sheng Xiangfeng Wang Bo Jin Junchi Yan Wenhao Li Tsung-Hui Chang Jun Wang H. Zha 23 50 0 11 Feb 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
Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning Weiya Ren 14 2 0 04 Jan 2020
Multi-Agent Game Abstraction via Graph Attention Neural Network Y. Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao 30 239 0 25 Nov 2019
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning Runsheng Yu Zhenyu Shi Xinrun Wang Rongpin Wang Buhong Liu Xinwen Hou Hanjiang Lai Bo An 22 4 0 18 Nov 2019
SMIX( $λ$ ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning Xinghu Yao Chao Wen Yuhui Wang Xiaoyang Tan 38 45 0 11 Nov 2019
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Raymond A. Yeh Alex Schwing 27 81 0 31 Oct 2019
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation Gang Chen 22 41 0 21 Oct 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 24 138 0 12 Oct 2019
Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems Mingyang Geng Kele Xu Yiying Li Shuqi Liu Bo Ding Huaimin Wang AAML 260 9 0 05 Oct 2019
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
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network Heechang Ryu Hayong Shin Jinkyoo Park 25 115 0 27 Sep 2019
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning Liheng Chen Hongyi Guo Yali Du Fei Fang Haifeng Zhang Yaoming Zhu Ming Zhou Weinan Zhang Qing Wang Yong Yu 24 8 0 10 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 70 415 0 11 Aug 2019
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning Julien Roy Paul Barde Félix G. Harvey Derek Nowrouzezahrai C. Pal 22 3 0 06 Aug 2019
Options as responses: Grounding behavioural hierarchies in multi-agent RL A. Vezhnevets Yuhuai Wu Rémi Leblond Joel Z Leibo AI4CE 26 17 0 04 Jun 2019
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning Matthew A. Wright R. Horowitz 17 3 0 31 May 2019
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 14 49 0 28 May 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 72 0 12 Jan 2019
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 102 1,658 0 30 Mar 2018
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 145 928 0 07 Jul 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 134 596 0 28 Feb 2017