Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

7 June 2017

Pieter Abbeel

Papers citing "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

50 / 633 papers shown

Title
Emergent Multi-Agent Communication in the Deep Learning Era Angeliki Lazaridou Marco Baroni AI4CE 48 197 0 03 Jun 2020
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 31 32 0 31 May 2020
Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games Hao Chen Chang Wang Jian Huang Jianxing Gong 13 5 0 26 May 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
Spatial Action Maps for Mobile Manipulation Jimmy Wu Xingyuan Sun Andy Zeng Shuran Song Johnny Lee Szymon Rusinkiewicz Thomas Funkhouser 24 71 0 20 Apr 2020
Macro-Action-Based Deep Multi-Agent Reinforcement Learning Yuchen Xiao Joshua Hoffman Chris Amato AI4CE 19 29 0 18 Apr 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
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition Ryuichi Takanobu Runze Liang Minlie Huang LLMAG 19 54 0 08 Apr 2020
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control Supriyo Ghosh Sean Laguna Shiau Hong Lim L. Wynter Hasan A. Poonawala 32 14 0 03 Apr 2020
Multi-agent Reinforcement Learning for Networked System Control Tianshu Chu Sandeep P. Chinchali Sachin Katti 28 108 0 03 Apr 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication Jianyu Su Stephen C. Adams Peter A. Beling 26 26 0 01 Apr 2020
Who2com: Collaborative Perception via Learnable Handshake Communication Yen-Cheng Liu Junjiao Tian Chih-Yao Ma Nathan Glaser Chia-Wen Kuo Z. Kira 23 162 0 21 Mar 2020
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 67 772 0 19 Mar 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 57 211 0 18 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 136 218 0 06 Mar 2020
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems M. S. Munir N. H. Tran Walid Saad Choong Seon Hong 11 19 0 20 Feb 2020
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning Tianpei Yang Weixun Wang Hongyao Tang Jianye Hao Zhaopeng Meng ... Wulong Liu Chen Zhang Yujing Hu Yingfeng Chen Changjie Fan 26 22 0 19 Feb 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium Qiaomin Xie Yudong Chen Zhaoran Wang Zhuoran Yang 39 124 0 17 Feb 2020
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 17 87 0 16 Feb 2020
Learning Multi-Agent Coordination through Connectivity-driven Communication E. Pesce Giovanni Montana 24 15 0 12 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
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks Feibo Jiang Kezhi Wang Li Dong Cunhua Pan Kun Yang OffRL 26 39 0 24 Jan 2020
Adversarially Guided Self-Play for Adopting Social Conventions Mycal Tucker Yilun Zhou J. Shah 24 14 0 16 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach Yingying Li Yujie Tang Runyu Zhang Na Li 24 101 0 19 Dec 2019
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator Yuwei Luo Zhuoran Yang Zhaoran Wang Mladen Kolar 26 9 0 14 Dec 2019
Scalable Reinforcement Learning for Multi-Agent Networked Systems Guannan Qu Adam Wierman Na Li 16 33 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
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning Hangyu Mao Wulong Liu Jianye Hao Jun Luo Dong Li Zhengchao Zhang Jun Wang Zhen Xiao OffRL 30 74 0 03 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 63 1,184 0 24 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 45 142 0 11 Nov 2019
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning Matthew Benatan Edward O. Pyzer-Knapp BDL 24 6 0 08 Nov 2019
Learning Fairness in Multi-Agent Systems Jiechuan Jiang Zongqing Lu 16 69 0 31 Oct 2019
Deep Decentralized Reinforcement Learning for Cooperative Control Florian Köpf Samuel Tesfazgi M. Flad Sören Hohmann 23 2 0 29 Oct 2019
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation Gang Chen 22 40 0 21 Oct 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning Nicolas Carion Gabriel Synnaeve A. Lazaric Nicolas Usunier 30 29 0 19 Oct 2019
Learning from My Partner's Actions: Roles in Decentralized Robot Teams Dylan P. Losey Mengxi Li Jeannette Bohg Dorsa Sadigh 16 24 0 16 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 148 355 0 16 Oct 2019
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths S. Seshia Pieter Abbeel Anca Dragan HAI 16 382 0 13 Oct 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 24 137 0 12 Oct 2019
Learning Nearly Decomposable Value Functions Via Communication Minimization Tonghan Wang Jianhao Wang Chongyi Zheng Chongjie Zhang 23 133 0 11 Oct 2019
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals Yizheng Zhang A. Rosendo 17 6 0 08 Oct 2019
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics J. Ackermann Pau Cebrian Antonio Espinosa Masashi Sugiyama OffRL 14 119 0 03 Oct 2019
Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation Yunkai Wang Shenhan Jia Zexi Chen Zheyuan Huang R. Xiong 24 0 0 30 Sep 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals Anahita Mohseni-Kabir David Isele K. Fujimura 24 11 0 27 Sep 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 25 89 0 27 Sep 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 21 174 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
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