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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"

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Title
MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding Wenbo Zhang Osbert Bastani Vijay Kumar 69 40 0 25 Oct 2019
Distributed interference cancellation in multi-agent scenarios Mahdi Shamsi A. Haghighi F. Marvasti 19 0 0 22 Oct 2019
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation Gang Chen 64 41 0 21 Oct 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning Nicolas Carion Gabriel Synnaeve A. Lazaric Nicolas Usunier 65 29 0 19 Oct 2019
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report Sagar Verma Richa Verma P. B. Sujit 40 1 0 17 Oct 2019
Learning from My Partner's Actions: Roles in Decentralized Robot Teams Dylan P. Losey Mengxi Li Jeannette Bohg Dorsa Sadigh 88 24 0 16 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 218 366 0 16 Oct 2019
Visual Hide and Seek Boyuan Chen Shuran Song Hod Lipson Carl Vondrick 71 22 0 15 Oct 2019
Actor Critic with Differentially Private Critic Jonathan Lebensold William L. Hamilton Borja Balle Doina Precup OffRL 45 9 0 14 Oct 2019
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths Sanjit A. Seshia Pieter Abbeel Anca Dragan HAI 77 405 0 13 Oct 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 92 139 0 12 Oct 2019
Learning Nearly Decomposable Value Functions Via Communication Minimization Tonghan Wang Jianhao Wang Chongyi Zheng Chongjie Zhang 58 134 0 11 Oct 2019
TorchBeast: A PyTorch Platform for Distributed RL Heinrich Küttler Nantas Nardelli Thibaut Lavril Marco Selvatici V. Sivakumar Tim Rocktaschel Edward Grefenstette OffRL 94 58 0 08 Oct 2019
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals Yizheng Zhang A. Rosendo 128 6 0 08 Oct 2019
Decentralized Multi-Agent Actor-Critic with Generative Inference Kevin Corder Manuel M. Vindiola Keith S. Decker OffRL 46 5 0 07 Oct 2019
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching Ming Zhou Jiarui Jin Weinan Zhang Zhiwei Qin Yan Jiao Chenxi Wang Guobin Wu Yong Yu Jieping Ye 48 91 0 07 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 419 10 0 05 Oct 2019
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics J. Ackermann Pau Cebrian Antonio Espinosa Masashi Sugiyama OffRL 70 122 0 03 Oct 2019
RLCache: Automated Cache Management Using Reinforcement Learning Sami Alabed 43 4 0 30 Sep 2019
Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation Yunkai Wang Shenhan Jia Zexi Chen Zheyuan Huang R. Xiong 31 0 0 30 Sep 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 132 88 0 30 Sep 2019
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals Anahita Mohseni-Kabir David Isele K. Fujimura 52 12 0 27 Sep 2019
Interactive Decision Making for Autonomous Vehicles in Dense Traffic David Isele 54 46 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 102 94 0 27 Sep 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 101 180 0 27 Sep 2019
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network Heechang Ryu Hayong Shin Jinkyoo Park 60 118 0 27 Sep 2019
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems Xiaotian Hao Weixun Wang Jianye Hao Yaodong Yang 58 16 0 25 Sep 2019
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net Yuchen Xiao Joshua Hoffman Tian Xia Chris Amato 81 28 0 19 Sep 2019
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games Macheng Shen Jonathan P. How AAML 91 19 0 18 Sep 2019
Emergent Tool Use From Multi-Agent Autocurricula Bowen Baker I. Kanitscheider Todor Markov Yi Wu Glenn Powell Bob McGrew Igor Mordatch LRM 74 658 0 17 Sep 2019
MarlRank: Multi-agent Reinforced Learning to Rank Shihao Zou Zhonghua Li Mohammad Akbari Jun Wang Peng Zhang 40 12 0 15 Sep 2019
On Memory Mechanism in Multi-Agent Reinforcement Learning Yilun Zhou Derrik E. Asher Nicholas R. Waytowich J. Shah 56 2 0 11 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 56 8 0 10 Sep 2019
Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains Florian Köpf A. Nitsch M. Flad Sören Hohmann 54 2 0 09 Sep 2019
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 188 93 0 08 Sep 2019
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey Roxana Rădulescu Patrick Mannion D. Roijers A. Nowé 96 146 0 06 Sep 2019
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control Shanghang Zhang Qi Zhang Jieyu Lin 44 101 0 06 Sep 2019
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Yanan Wang Tong Xu Xin Niu Chang Tan Enhong Chen Hui Xiong 98 8 0 28 Aug 2019
Universal Policies to Learn Them All Hassam Sheikh Ladislau Bölöni OffRL 25 1 0 24 Aug 2019
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning Jiancheng Long Hongming Zhang Tianyang Yu Bo Xu 20 0 0 16 Aug 2019
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking Yue Wang Yao Wan Chenwei Zhang Lixin Cui Lu Bai Philip S. Yu LRM 51 12 0 13 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 122 439 0 11 Aug 2019
Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Xiaoqiang Wang Liangjun Ke Zhimin Qiao Xinghua Chai 62 113 0 10 Aug 2019
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning Julien Roy Paul Barde Félix G. Harvey Derek Nowrouzezahrai C. Pal 58 3 0 06 Aug 2019
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning R. Allen Jayesh K. Gupta Jaime Pena Yutai Zhou Javona White Bear Mykel J. Kochenderfer 55 7 0 02 Aug 2019
Multi-Agent Adversarial Inverse Reinforcement Learning Lantao Yu Jiaming Song Stefano Ermon 105 137 0 30 Jul 2019
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems Weixun Wang Tianpei Yang Yong Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao 95 35 0 26 Jul 2019
Low-Variance and Zero-Variance Baselines for Extensive-Form Games Trevor Davis Martin Schmid Michael Bowling OffRL 88 19 0 22 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 89 205 0 22 Jul 2019
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments Elaheh Barati Xuewen Chen 69 13 0 19 Jul 2019