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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"

50 / 1,627 papers shown

Title
Multi-Agent Informational Learning Processes J. K. Terry Nathaniel Grammel 13 2 0 11 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 84 70 0 11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 97 39 0 11 Jun 2020
The Emergence of Individuality Jiechuan Jiang Zongqing Lu 75 40 0 10 Jun 2020
Policy-focused Agent-based Modeling using RL Behavioral Models Osonde A. Osoba R. Vardavas J. Grana Rushil Zutshi Amber Jaycocks 36 4 0 09 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 106 43 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 92 68 0 07 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning Shuncheng He Jianzhun Shao Xiangyang Ji 55 7 0 07 Jun 2020
Learning to Model Opponent Learning Ian Davies Zheng Tian Jun Wang 24 2 0 06 Jun 2020
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Y. Sung 52 13 0 04 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era Angeliki Lazaridou Marco Baroni AI4CE 156 206 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 125 35 0 31 May 2020
Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning Di Cao Junbo Zhao Weihao Hu F. Ding Qi Huang Zhe Chen 38 11 0 31 May 2020
When2com: Multi-Agent Perception via Communication Graph Grouping Yen-Cheng Liu Junjiao Tian Nathan Glaser Z. Kira AI4CE 147 212 0 30 May 2020
Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning J. K. Terry Nathaniel Grammel Sanghyun Son Benjamin Black Aakriti Agrawal 124 0 0 27 May 2020
Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games Hao Chen Chang Wang Jian Huang Jianxing Gong 109 5 0 26 May 2020
Non-cooperative Multi-agent Systems with Exploring Agents Jalal Etesami C. Straehle 43 4 0 25 May 2020
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization Yueh-hua Wu I-Hau Yeh David Hu H. Liao 25 1 0 19 May 2020
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning Zhenhui Ye Yining Chen Guang-hua Song Bowei Yang Sheng Fan OffRL 75 7 0 19 May 2020
Privileged Information Dropout in Reinforcement Learning Pierre-Alexandre Kamienny Kai Arulkumaran Feryal M. P. Behbahani Wendelin Boehmer Shimon Whiteson 61 10 0 19 May 2020
Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management Jianwen Sun Yan Zheng Jianye Hao Zhaopeng Meng Yang Liu 69 15 0 14 May 2020
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments Baiming Chen Mengdi Xu Zuxin Liu Liang-Sheng Li Ding Zhao 70 37 0 11 May 2020
Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids Joash Lee Wenbo Wang Dusit Niyato 18 9 0 05 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 60 136 0 28 Apr 2020
Spatial Action Maps for Mobile Manipulation Jimmy Wu Xingyuan Sun Andy Zeng Shuran Song Johnny Lee Szymon Rusinkiewicz Thomas Funkhouser 82 72 0 20 Apr 2020
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense Yixin Zhu Tao Gao Lifeng Fan Siyuan Huang Mark Edmonds ... Fangqiu Yi Siyuan Qi Ying Nian Wu J. Tenenbaum Song-Chun Zhu 112 130 0 20 Apr 2020
Variational Policy Propagation for Multi-agent Reinforcement Learning Chao Qu Hui Li Chang-rui Liu Junwu Xiong James Y. Zhang Wei Chu Weiqiang Wang Yuan Qi L. Song 55 0 0 19 Apr 2020
Macro-Action-Based Deep Multi-Agent Reinforcement Learning Yuchen Xiao Joshua Hoffman Chris Amato AI4CE 72 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 113 21 0 17 Apr 2020
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library Dmitry Kazhdan Z. Shams Pietro Lio 54 17 0 16 Apr 2020
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition Ryuichi Takanobu Runze Liang Minlie Huang LLMAG 125 55 0 08 Apr 2020
Networked Multi-Agent Reinforcement Learning with Emergent Communication Shubham Gupta Rishi Hazra Ambedkar Dukkipati 61 25 0 06 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 52 14 0 03 Apr 2020
Multi-agent Reinforcement Learning for Networked System Control Tianshu Chu Sandeep P. Chinchali Sachin Katti 79 112 0 03 Apr 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication Jianyu Su Stephen C. Adams Peter A. Beling 66 26 0 01 Apr 2020
Mimicking Evolution with Reinforcement Learning João Abrantes A. Abrantes F. Oliehoek 28 2 0 31 Mar 2020
Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning Yongyuan Liang Bangwei Li 59 10 0 29 Mar 2020
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward Hassam Sheikh Ladislau Bölöni 105 37 0 24 Mar 2020
Who2com: Collaborative Perception via Learnable Handshake Communication Yen-Cheng Liu Junjiao Tian Chih-Yao Ma Nathan Glaser Chia-Wen Kuo Z. Kira 76 168 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 180 829 0 19 Mar 2020
Distributed and Democratized Learning: Philosophy and Research Challenges Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad Choong Seon Hong 68 14 0 18 Mar 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 137 222 0 18 Mar 2020
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous Rose E. Wang J. Kew Dennis Lee T. Lee Tingnan Zhang Brian Ichter Jie Tan Aleksandra Faust 41 2 0 15 Mar 2020
FACMAC: Factored Multi-Agent Centralised Policy Gradients Bei Peng Tabish Rashid Christian Schroeder de Witt Pierre-Alexandre Kamienny Philip Torr Wendelin Bohmer Shimon Whiteson 93 265 0 14 Mar 2020
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles Songyang Han Shangli Zhou Jiangwei Wang Lynn Pepin Caiwen Ding Jie Fu Fei Miao 75 24 0 09 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 193 225 0 06 Mar 2020
On Emergent Communication in Competitive Multi-Agent Teams Paul Pu Liang Jeffrey Chen Ruslan Salakhutdinov Louis-Philippe Morency Satwik Kottur LLMAG 78 16 0 04 Mar 2020
Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph Chuangchuang Sun Macheng Shen Jonathan P. How 39 17 0 02 Mar 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 169 4 0 27 Feb 2020
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic Wonseok Jeon Paul Barde Derek Nowrouzezahrai Joelle Pineau 31 11 0 24 Feb 2020