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
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging Nikunj Gupta G. Srinivasaraghavan S. Mohalik Nishant Kumar Matthew E. Taylor 24 15 0 18 Jan 2021
Solving Common-Payoff Games with Approximate Policy Iteration Samuel Sokota Edward Lockhart Finbarr Timbers Elnaz Davoodi Ryan DÓrazio Neil Burch Martin Schmid Michael Bowling Marc Lanctot 42 22 0 11 Jan 2021
Adaptive Synthetic Characters for Military Training Volkan Ustun Rajay Kumar Adam Reilly Seyed Sajjadi Andrew Miller AI4CE 18 10 0 06 Jan 2021
Neurosymbolic Transformers for Multi-Agent Communication J. Inala Yichen Yang James Paulos Yewen Pu Osbert Bastani Vijay R. Kumar Martin Rinard Armando Solar-Lezama 29 24 0 05 Jan 2021
Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys M. Kouzehgar Malika Meghjani Roland Bouffanais 17 23 0 21 Dec 2020
MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning Aleksandra Malysheva D. Kudenko A. Shpilman AI4CE 13 19 0 17 Dec 2020
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication T. V. D. Heiden Christoph Salge E. Gavves H. V. Hoof 16 9 0 15 Dec 2020
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control Dong Chen Kaian Chen Tianshu Chu Rui Yao F. Qiu Kaixiang Lin 38 64 0 24 Nov 2020
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem Eric T. Chung Y. Efendiev W. Leung Sai-Mang Pun Zecheng Zhang 6 12 0 17 Nov 2020
Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks Yunlong Lu Xiaohong Huang Ke Zhang Sabita Maharjan Yan Zhang 4 348 0 17 Nov 2020
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games Roxana Rădulescu T. Verstraeten Yijie Zhang Patrick Mannion D. Roijers A. Nowé 25 14 0 14 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie Dylan P. Losey R. Tolsma Chelsea Finn Dorsa Sadigh DRL 21 132 0 12 Nov 2020
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences Bowen Baker LRM 13 33 0 10 Nov 2020
Multi-Agent Active Search using Realistic Depth-Aware Noise Model Ramina Ghods W. Durkin J. Schneider 24 14 0 09 Nov 2020
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems Sushmita Bhattacharya Siva Kailas Sahil Badyal Stephanie Gil Dimitri Bertsekas 17 24 0 09 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani E. Hossain 35 236 0 06 Nov 2020
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks Jing Xu Fangwei Zhong Yizhou Wang 11 47 0 25 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 139 193 0 19 Oct 2020
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning C. de Souza Rhys Newbury Akansel Cosgun P. Castillo B. Vidolov Dana Kulić 53 90 0 16 Oct 2020
Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach Xinyu Huang Lijun He Xing Chen Liejun Wang Fan Li 8 53 0 16 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 30 203 0 04 Oct 2020
Learning to Play against Any Mixture of Opponents Max O. Smith Thomas W. Anthony Yongzhao Wang Michael P. Wellman OffRL 30 9 0 29 Sep 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control Qingrui Zhang Hao Dong Wei Pan 26 6 0 20 Sep 2020
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation Yue Guan Qifan Zhang Panagiotis Tsiotras 9 7 0 01 Sep 2020
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning Chi Zhang Philip Odonkor Shuai Zheng H. Khorasgani Susumu Serita Chetan Gupta 19 20 0 24 Aug 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 16 59 0 06 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 33 174 0 24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020
Reinforcement Communication Learning in Different Social Network Structures M. Dubova A. Moskvichev Robert L. Goldstone GNN 16 9 0 19 Jul 2020
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams A. Deka Katia P. Sycara AAML 26 32 0 06 Jul 2020
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Sungsoo Ahn Roben Delos Reyes Jinwoo Shin Yung Yi OffRL 28 2 0 22 Jun 2020
Cooperative Multi-Agent Reinforcement Learning with Partial Observations Yan Zhang Michael M. Zavlanos OffRL 30 22 0 18 Jun 2020
A New One-Point Residual-Feedback Oracle For Black-Box Learning and Control Yan Zhang Yi Zhou Kaiyi Ji Michael M. Zavlanos 15 40 0 18 Jun 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 30 345 0 18 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 19 61 0 16 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 26 220 0 14 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 13 18 0 14 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 25 69 0 11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 26 38 0 11 Jun 2020
The Emergence of Individuality Jiechuan Jiang Zongqing Lu 23 34 0 10 Jun 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas W. Anthony Tom Eccles Andrea Tacchetti János Kramár I. Gemp ... Richard Everett Roman Werpachowski Satinder Singh T. Graepel Yoram Bachrach 11 42 0 08 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 29 64 0 07 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning Shuncheng He Jianzhun Shao Xiangyang Ji 26 7 0 07 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era Angeliki Lazaridou Marco Baroni AI4CE 48 196 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 21 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 8 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 23 131 0 28 Apr 2020
Macro-Action-Based Deep Multi-Agent Reinforcement Learning Yuchen Xiao Joshua Hoffman Chris Amato AI4CE 11 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