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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
Emergent Coordination Through Competition Siqi Liu Guy Lever J. Merel S. Tunyasuvunakool N. Heess T. Graepel 123 151 0 19 Feb 2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Woojun Kim Myungsik Cho Y. Sung 49 55 0 18 Feb 2019
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning Jintao Ke F. Xiao Hai Yang Jieping Ye 37 25 0 17 Feb 2019
Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning Macheng Shen Jonathan P. How AAML 52 13 0 14 Feb 2019
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning Gang Chen Yiming Peng 38 8 0 14 Feb 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 127 962 0 11 Feb 2019
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning Nicolas Anastassacos Stephen Hailes Mirco Musolesi 58 47 0 08 Feb 2019
Reinforcement Learning from Hierarchical Critics Zehong Cao Chin-Teng Lin 52 12 0 08 Feb 2019
Decentralized Multi-Agents by Imitation of a Centralized Controller A. Lin Mark J. Debord Katia Estabridis G. Hewer Guido Montufar Stanley Osher 65 6 0 06 Feb 2019
Learning to Schedule Communication in Multi-agent Reinforcement Learning Daewoo Kim Sang-chul Moon D. Hostallero Wan Ju Kang Taeyoung Lee Kyunghwan Son Yung Yi 80 208 0 05 Feb 2019
Competitive Experience Replay Hao Liu Alexander R. Trott R. Socher Caiming Xiong OffRL 119 53 0 01 Feb 2019
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning Minne Li Zhiwei Qin Qin Yan Jiao Yaodong Yang Zhichen Gong Jun Wang Chenxi Wang Guobin Wu Jieping Ye 90 202 0 31 Jan 2019
Multi-Agent Reinforcement Learning with Multi-Step Generative Models Orr Krupnik Igor Mordatch Aviv Tamar DRL 64 28 0 29 Jan 2019
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning Hassam Sheikh Ladislau Bölöni 53 3 0 28 Jan 2019
The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning Hassam Sheikh Ladislau Bölöni 13 1 0 28 Jan 2019
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning Chao Qu Shie Mannor Huan Xu Yuan Qi Le Song Junwu Xiong 84 44 0 27 Jan 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 99 52 0 26 Jan 2019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen Yaodong Yang Rui Luo Jun Wang Wei Pan LRM 152 152 0 26 Jan 2019
Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots Guillaume Sartoretti William Paivine Yunfei Shi Yue Wu Howie Choset 54 55 0 24 Jan 2019
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning S. Ahilan Peter Dayan 70 75 0 24 Jan 2019
Decentralization of Multiagent Policies by Learning What to Communicate James Paulos Steven W. Chen Daigo Shishika Vijay Kumar 80 30 0 24 Jan 2019
Federated Deep Reinforcement Learning H. Zhuo Wenfeng Feng Yufeng Lin Qian Xu Qiang Yang FedML OffRL 78 90 0 24 Jan 2019
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition Diego Perez-Liebana Katja Hofmann Sharada Mohanty Noburu Kuno André Kramer Sam Devlin Raluca D. Gaina Daniel Ionita LRM 106 35 0 23 Jan 2019
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning Michael Shum Max Kleiman-Weiner Michael L. Littman J. Tenenbaum AI4CE 66 85 0 18 Jan 2019
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture Basel Magableh 58 16 0 13 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 76 72 0 12 Jan 2019
Credit Assignment Techniques in Stochastic Computation Graphs T. Weber N. Heess Lars Buesing David Silver 103 45 0 07 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 139 795 0 31 Dec 2018
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks Amanpreet Singh Tushar Jain Sainbayar Sukhbaatar 134 246 0 23 Dec 2018
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems Hyung-Jin Yoon Huaiyu Chen Kehan Long Heling Zhang Aditya Gahlawat Donghwan Lee N. Hovakimyan 43 6 0 13 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Kai Zhang G. Giannakis Tamer Basar OffRL 100 41 0 07 Dec 2018
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar OffRL 106 26 0 06 Dec 2018
Counterfactual Critic Multi-Agent Training for Scene Graph Generation Long Chen Hanwang Zhang Jun Xiao Xiangnan He Shiliang Pu Shih-Fu Chang 100 159 0 06 Dec 2018
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration Peixi Peng Junliang Xing 30 0 0 05 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations Ozsel Kilinc Giovanni Montana 84 26 0 03 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 173 1,279 0 30 Nov 2018
Deep Multi-Agent Reinforcement Learning with Relevance Graphs Aleksandra Malysheva Tegg Taekyong Sung Chae-Bong Sohn D. Kudenko A. Shpilman 72 43 0 30 Nov 2018
Parameter Sharing Reinforcement Learning Architecture for Multi Agent Driving Behaviors Meha Kaushik S. Phaniteja K. M. Krishna AI4CE 41 11 0 17 Nov 2018
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG Hangyu Mao Zhengchao Zhang Zhen Xiao Zhibo Gong 77 85 0 13 Nov 2018
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing Ryosuke Furuta Naoto Inoue T. Yamasaki 84 53 0 10 Nov 2018
Modular Architecture for StarCraft II with Deep Reinforcement Learning Dennis Lee Mizanur Rahman Jeffrey O. Zhang Huazhe Xu Jerome McClendon Pieter Abbeel 120 55 0 08 Nov 2018
Concept Learning with Energy-Based Models William J. Wilkinson 161 26 0 06 Nov 2018
Managing engineering systems with large state and action spaces through deep reinforcement learning Varun Chandrasekaran K. Papakonstantinou AI4CE 80 164 0 05 Nov 2018
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster H. F. Song Edward Hughes Neil Burch Iain Dunning Shimon Whiteson M. Botvinick Michael Bowling 94 149 0 04 Nov 2018
Multi-Agent Common Knowledge Reinforcement Learning Christian Schroeder de Witt Jakob N. Foerster Gregory Farquhar Philip Torr Wendelin Bohmer Shimon Whiteson 102 108 0 27 Oct 2018
Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability Tianyi Chen Sergio Barbarossa Xin Wang G. Giannakis Zhi-Li Zhang 73 81 0 27 Oct 2018
TarMAC: Targeted Multi-Agent Communication Abhishek Das Théophile Gervet Joshua Romoff Dhruv Batra Devi Parikh Michael G. Rabbat Joelle Pineau 106 392 0 26 Oct 2018
Multi-Agent Actor-Critic with Generative Cooperative Policy Network Heechang Ryu Hayong Shin Jinkyoo Park 53 12 0 22 Oct 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 82 340 0 22 Oct 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 85 149 0 21 Oct 2018