QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning

14 May 2019

Papers citing "QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning"

50 / 370 papers shown

Title
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games Ziyi Liu Yongchun Fang 47 1 0 14 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning Ji-Yun Oh Joonkee Kim Minchan Jeong Se-Young Yun 64 1 0 03 Mar 2023
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning Xiaoyang Yu Youfang Lin Xiangsen Wang Sheng Han Kai Lv 35 0 0 02 Mar 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 139 40 0 21 Feb 2023
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning Cong Guan F. Chen Lei Yuan Zongzhang Zhang Yang Yu OffRL 81 4 0 19 Feb 2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network Wei Li Weiyan Liu Shitong Shao Shiyi Huang 27 3 0 19 Feb 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play Fanqing Lin Shiyu Huang Tim Pearce Wenze Chen Weijuan Tu 115 21 0 15 Feb 2023
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication Nancirose Piazza Vahid Behzadan AAML 54 7 0 14 Feb 2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning Shanqi Liu Yujing Hu Runze Wu Dongxian Xing Yu Xiong Changjie Fan Kun Kuang Y. Liu 60 1 0 14 Feb 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems D. Mguni Hao Chen Taher Jafferjee Jianhong Wang Long Fei Xidong Feng Stephen Marcus McAleer Feifei Tong Jun Wang Yaodong Yang 60 2 0 12 Feb 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning Yongsheng Mei Hanhan Zhou Tian-Shing Lan 95 11 0 11 Feb 2023
Improving Zero-Shot Coordination Performance Based on Policy Similarity Lebin Yu Yunbo Qiu Quanming Yao Xudong Zhang Jian Wang 84 1 0 10 Feb 2023
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation Xinyi Yang Shiyu Huang Yiwen Sun Yuxiang Yang Chao Yu Weijuan Tu Huazhong Yang Yu Wang 51 7 0 08 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence Simin Li Jun Guo Jingqiao Xiu Pu Feng Xin Yu Aishan Liu Wenjun Wu Xianglong Liu AAML 120 16 0 07 Feb 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Guangchong Zhou Zeren Zhang Guoliang Fan 95 3 0 04 Feb 2023
Best Possible Q-Learning Jiechuan Jiang Zongqing Lu OffRL 84 5 0 02 Feb 2023
Differential Privacy in Cooperative Multiagent Planning Bo Chen C. Hawkins Mustafa O. Karabag Cyrus Neary Matthew T. Hale Ufuk Topcu 81 8 0 20 Jan 2023
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning Maxime Bouton Jaeseong Jeong José Outes Carnero Adriano Mendo Alexandros Nikou 70 2 0 20 Jan 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games Paramita Koley Aurghya Maiti Niloy Ganguly Sourangshu Bhattacharya 77 1 0 14 Jan 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 79 8 0 13 Jan 2023
TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems Matteo Gallici Mario Martin Ivan Masmitja OffRL 26 10 0 13 Jan 2023
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism Xudong Guo Daming Shi Wenhui Fan 63 6 0 05 Jan 2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability Thomy Phan Fabian Ritz Philipp Altmann Maximilian Zorn Jonas Nusslein Michael Kolle Thomas Gabor Claudia Linnhoff-Popien 117 12 0 04 Jan 2023
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning Ju-Bong Kim Ho-bin Choi Youn-Hee Han 119 4 0 27 Dec 2022
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management Yuandong Ding Ming Feng Guozi Liu Wei Jiang Wei Shen Li Zhao Lei Song Houqiang Li Yan Jin Jiang Bian 71 16 0 15 Dec 2022
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Benjamin Ellis Jonathan Cook S. Moalla Mikayel Samvelyan Mingfei Sun Anuj Mahajan Jakob N. Foerster Shimon Whiteson 135 94 0 14 Dec 2022
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning M. Ibrahim Ammar Fayad 64 1 0 14 Dec 2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning K. Mehta Anuj Mahajan Kiran Ravish 79 7 0 10 Dec 2022
Curriculum Learning for Relative Overgeneralization Lin Shi Bei Peng 75 1 0 06 Dec 2022
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency Chuming Li Jie Liu Yinmin Zhang Yuhong Wei Yazhe Niu Yaodong Yang Y. Liu Wanli Ouyang 89 26 0 29 Nov 2022
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control Xiaoyu Wang Scott Sanner Baher Abdulhai 69 5 0 26 Nov 2022
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition Shunyu Liu Yihe Zhou Mingli Song Tongya Zheng Kaixuan Chen Tongtian Zhu Zunlei Feng Mingli Song 79 23 0 23 Nov 2022
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning Lipeng Wan Zeyang Liu Xingyu Chen Xuguang Lan Han Wang 99 12 0 22 Nov 2022
Decision-making with Speculative Opponent Models Jing-rong Sun Shuo Chen Cong Zhang Yining Ma Jie Zhang 74 1 0 22 Nov 2022
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition Pascal Leroy J. Pisane D. Ernst 53 3 0 21 Nov 2022
Coordination for Connected and Automated Vehicles at Non-signalized Intersections: A Value Decomposition-based Multiagent Deep Reinforcement Learning Approach Zihan Guo Yan Wu Lifang Wang Junzhi Zhang 43 14 0 15 Nov 2022
Solving Collaborative Dec-POMDPs with Deep Reinforcement Learning Heuristics Nitsan Soffair 112 0 0 09 Nov 2022
Decentralized Policy Optimization Kefan Su Zongqing Lu 64 8 0 06 Nov 2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 62 0 0 02 Nov 2022
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning Jennifer She Jayesh K. Gupta Mykel J. Kochenderfer 65 7 0 31 Oct 2022
Curiosity-Driven Multi-Agent Exploration with Mixed Objectives Roben Delos Reyes Kyunghwan Son Jinhwan Jung Wan Ju Kang Yung Yi 64 5 0 29 Oct 2022
Non-Linear Coordination Graphs Yipeng Kang Tonghan Wang Xiao-Ren Wu Qianlan Yang Chongjie Zhang 91 10 0 26 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 90 23 0 22 Oct 2022
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan Mingxing Li Chao Qian Zongzhang Zhang Yang Yu 102 33 0 13 Oct 2022
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient Wubing Chen Wenbin Li Xiao Liu Shangdong Yang Yang Gao 71 6 0 10 Oct 2022
Multi-agent Deep Covering Skill Discovery Jiayu Chen Marina Haliem Tian-Shing Lan Vaneet Aggarwal 62 0 0 07 Oct 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning Filippos Christianos Georgios Papoudakis Stefano V. Albrecht 91 4 0 28 Sep 2022
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization Jiangxing Wang Deheng Ye Zongqing Lu OffRL 100 19 0 26 Sep 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 86 50 0 21 Sep 2022
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning Yi-Te Hong Yaochu Jin Yang Tang 66 24 0 20 Sep 2022