Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning

26 January 2019

Ying Wen

Yaodong Yang

Rui Luo

Jun Wang

Wei Pan

LRM

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Papers citing "Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning"

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Title
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Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
The Role of Higher-Order Cognitive Models in Active Learning Oskar Keurulainen G. Alcan Ville Kyrki 41 0 0 09 Jan 2024
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Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning Xiao Du Yutong Ye Peng Zhang Yaning Yang Mingsong Chen Ting Wang 19 4 0 15 Dec 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 24 7 0 01 Mar 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games Paramita Koley Aurghya Maiti Niloy Ganguly Sourangshu Bhattacharya 24 1 0 14 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 29 5 0 11 Jan 2023
An Opponent-Aware Reinforcement Learning Method for Team-to-Team Multi-Vehicle Pursuit via Maximizing Mutual Information Indicator Qinwen Wang Xinhang Li Zheng Yuan Yiying Yang Chen Xu Lin Zhang 27 2 0 24 Oct 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem Muning Wen J. Kuba Runji Lin Weinan Zhang Ying Wen J. Wang Yaodong Yang 26 178 0 30 May 2022
Learning Theory of Mind via Dynamic Traits Attribution D. Nguyen Phuoc Nguyen Hung Le Kien Do Svetha Venkatesh T. Tran 12 5 0 17 Apr 2022
Multi-agent Actor-Critic with Time Dynamical Opponent Model Yuan Tian Klaus-Rudolf Kladny Qin Wang Zhiwu Huang Olga Fink AI4CE 14 7 0 12 Apr 2022
Learning to Infer Belief Embedded Communication Guo Ye Han Liu B. Sengupta 16 0 0 15 Mar 2022
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks Mhd Saria Allahham A. Abdellatif N. Mhaisen Amr M. Mohamed A. Erbad M. Guizani 6 31 0 21 Feb 2022
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning Zehao Dou J. Kuba Yaodong Yang FAtt 14 5 0 10 Feb 2022
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks Linghui Meng Muning Wen Yaodong Yang Chenyang Le Xiyun Li Weinan Zhang Ying Wen Haifeng Zhang Jun Wang Bo Xu OffRL 26 38 0 06 Dec 2021
Emergent Graphical Conventions in a Visual Communication Game Shuwen Qiu Sirui Xie Lifeng Fan Tao Gao Jungseock Joo Song-Chun Zhu Yixin Zhu 29 12 0 28 Nov 2021
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 95 49 0 06 Oct 2021
Emergence of Theory of Mind Collaboration in Multiagent Systems Luyao Yuan Zipeng Fu Linqi Zhou Kexin Yang Song-Chun Zhu 46 10 0 30 Sep 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 18 229 0 23 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 31 18 0 14 Sep 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 21 58 0 19 Aug 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 36 11 0 12 Jun 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts Weinan Zhang Xihuai Wang Jian Shen Ming Zhou 19 35 0 07 May 2021
Deep Interpretable Models of Theory of Mind Ini Oguntola Dana Hughes Katia P. Sycara HAI 25 23 0 07 Apr 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World Florian Laurent Manuel Schneider Christian Scheller J. Watson Jiaoyang Li ... Nilabha Bhattacharya Shivam Agarwal A. Egli Erik Nygren Sharada Mohanty 33 28 0 30 Mar 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 136 193 0 19 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 16 202 0 04 Oct 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 25 174 0 24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 66 101 0 24 Jul 2020
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams A. Deka Katia P. Sycara AAML 23 32 0 06 Jul 2020
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 16 137 0 12 Oct 2019
Learning Nearly Decomposable Value Functions Via Communication Minimization Tonghan Wang Jianhao Wang Chongyi Zheng Chongjie Zhang 17 133 0 11 Oct 2019
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 96 91 0 08 Sep 2019
A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian Ying Wen Zhichen Gong Faiz Punakkath Shihao Zou Jun Wang 22 30 0 17 May 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 71 0 12 Jan 2019