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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
Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach M. S. Munir S. F. Abedin N. H. Tran Zhu Han Eui-nam Huh Choong Seon Hong 33 31 0 21 Feb 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 143 21 0 20 Feb 2020
Adaptive Temporal Difference Learning with Linear Function Approximation Tao Sun Han Shen Tianyi Chen Dongsheng Li 77 23 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 75 25 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 175 127 0 17 Feb 2020
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning Zhenyu Shou Xuan Di 83 57 0 17 Feb 2020
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 64 88 0 16 Feb 2020
Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning Chao Huang Rui Liu 80 2 0 12 Feb 2020
Learning Multi-Agent Coordination through Connectivity-driven Communication E. Pesce Giovanni Montana 143 16 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 44 52 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 78 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 96 188 0 10 Feb 2020
Proficiency Constrained Multi-Agent Reinforcement Learning for Environment-Adaptive Multi UAV-UGV Teaming Qifei Yu Zhexin Shen Yijiang Pang R. Liu 20 8 0 10 Feb 2020
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks Joseph Suárez Yilun Du Igor Mordatch Phillip Isola AI4CE 70 6 0 31 Jan 2020
Variational Autoencoders for Opponent Modeling in Multi-Agent Systems Georgios Papoudakis Stefano V. Albrecht BDL DRL 64 29 0 29 Jan 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 60 39 0 24 Jan 2020
Emergence of Pragmatics from Referential Game between Theory of Mind Agents Luyao Yuan Zipeng Fu Jingyue Shen Lu Xu Junhong Shen Song-Chun Zhu LLMAG 77 18 0 21 Jan 2020
Adversarially Guided Self-Play for Adopting Social Conventions Mycal Tucker Yilun Zhou J. Shah 85 14 0 16 Jan 2020
Multi-Robot Formation Control Using Reinforcement Learning Abhay Rawat K. Karlapalem 36 4 0 13 Jan 2020
Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles Dohyun Kwon Joongheon Kim 48 13 0 08 Jan 2020
Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning Weiya Ren 28 2 0 04 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 135 193 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 107 102 0 19 Dec 2019
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning A. Celli Marco Ciccone Raffaele Bongo N. Gatti 61 12 0 16 Dec 2019
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing Ryosuke Furuta Naoto Inoue T. Yamasaki 61 72 0 16 Dec 2019
Fairness in Multi-agent Reinforcement Learning for Stock Trading Wenhang Bao AIFin 77 8 0 14 Dec 2019
Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System Wenhang Bao Xiao-Yang Liu 44 1 0 14 Dec 2019
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator Yuwei Luo Zhuoran Yang Zhaoran Wang Mladen Kolar 94 9 0 14 Dec 2019
Biases for Emergent Communication in Multi-agent Reinforcement Learning Tom Eccles Yoram Bachrach Guy Lever Angeliki Lazaridou T. Graepel AI4CE 83 70 0 11 Dec 2019
Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances Kai Zhang Zhuoran Yang Tamer Basar 71 68 0 09 Dec 2019
Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles Jose Manuel Vera Andres G. Abad 78 20 0 06 Dec 2019
Scalable Reinforcement Learning for Multi-Agent Networked Systems Guannan Qu Adam Wierman Na Li 68 35 0 05 Dec 2019
Inter-Level Cooperation in Hierarchical Reinforcement Learning Abdul Rahman Kreidieh Yiling You Nathan Lichtlé Samyak Parajuli Rayyan Nasr Alexandre M. Bayen 116 14 0 05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 92 82 0 04 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication) Marek Rosa O. Afanasjeva Simon Andersson Joseph Davidson N. Guttenberg Petr Hlubucek Martin Poliak Jaroslav Vítků Jan Feyereisl 80 10 0 03 Dec 2019
Learning Agent Communication under Limited Bandwidth by Message Pruning Hangyu Mao Zhengchao Zhang Zhen Xiao Zhibo Gong Yan Ni 62 90 0 03 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 83 77 0 03 Dec 2019
Multi-Agent Deep Reinforcement Learning with Adaptive Policies Yixiang Wang Feng Wu 38 2 0 28 Nov 2019
Multi-Agent Game Abstraction via Graph Attention Neural Network Y. Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao 80 244 0 25 Nov 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 233 1,233 0 24 Nov 2019
Agent Probing Interaction Policies Siddharth Ghiya Oluwafemi Azeez Brendan Miller 20 0 0 21 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 31 4 0 18 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 103 146 0 11 Nov 2019
SMIX( $λ$ ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning Xinghu Yao Chao Wen Yuhui Wang Xiaoyang Tan 107 47 0 11 Nov 2019
A perspective on multi-agent communication for information fusion Homagni Saha Vijay Venkataraman A. Speranzon Soumik Sarkar 28 2 0 09 Nov 2019
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning Matthew Benatan Edward O. Pyzer-Knapp BDL 64 6 0 08 Nov 2019
Efficient Multi-robot Exploration via Multi-head Attention-based Cooperation Strategy Shuqi Liu Zhaoxia Wu 53 2 0 05 Nov 2019
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Raymond A. Yeh Alex Schwing 77 83 0 31 Oct 2019
Learning Fairness in Multi-Agent Systems Jiechuan Jiang Zongqing Lu 70 71 0 31 Oct 2019
Deep Decentralized Reinforcement Learning for Cooperative Control Florian Köpf Samuel Tesfazgi M. Flad Sören Hohmann 86 2 0 29 Oct 2019