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
Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss Mustafa O. Karabag Cyrus Neary Ufuk Topcu 53 8 0 17 Jan 2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning Jingqing Ruan Yali Du Xuantang Xiong Dengpeng Xing Xiyun Li Linghui Meng Haifeng Zhang Jun Wang Bo Xu 89 30 0 17 Jan 2022
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning Baicen Xiao Bhaskar Ramasubramanian Radha Poovendran 106 6 0 12 Jan 2022
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients Hanhan Zhou Tian-Shing Lan Vaneet Aggarwal 108 32 0 04 Jan 2022
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning Raphael Avalos Mathieu Reymond Ann Nowé D. Roijers OffRL 67 6 0 23 Dec 2021
Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation Enrico Marchesini Alessandro Farinelli 56 18 0 16 Dec 2021
Learning to Share in Multi-Agent Reinforcement Learning Yuxuan Yi G. Li Yaowei Wang Zongqing Lu 88 13 0 16 Dec 2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module Wei-Cheng Tseng Wei Wei Da-Cheng Juan Min Sun 92 2 0 14 Dec 2021
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution Yunru Bai Chen Gong Bin Zhang Guoliang Fan Xinwen Hou Yu Liu 66 7 0 09 Dec 2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge Meng Yao Qiyue Yin Jun Yang Tongtong Yu S. Shen Junge Zhang Bin Liang Kaiqi Huang 43 5 0 07 Dec 2021
Self-Organized Polynomial-Time Coordination Graphs Qianlan Yang Weijun Dong Zhizhou Ren Jianhao Wang Tonghan Wang Chongjie Zhang 67 16 0 07 Dec 2021
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 100 43 0 06 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning D. Mguni Taher Jafferjee Jianhong Wang Oliver Slumbers Nicolas Perez Nieves Feifei Tong Yang Li Jiangcheng Zhu Yaodong Yang Jun Wang 114 19 0 05 Dec 2021
Multi-Agent Intention Sharing via Leader-Follower Forest Zeyang Liu Lipeng Wang Xuefeng Sui Kewu Sun Xuguang Lan 55 4 0 02 Dec 2021
Learning Long-Term Reward Redistribution via Randomized Return Decomposition Zhizhou Ren Ruihan Guo Yuanshuo Zhou Jian-wei Peng 127 38 0 26 Nov 2021
Off-Policy Correction For Multi-Agent Reinforcement Learning Michał Zawalski Bla.zej Osiñski Henryk Michalewski Piotr Milo's OffRL 76 2 0 22 Nov 2021
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration Lu Zheng Jiarui Chen Jianhao Wang Jiamin He Yujing Hu Yingfeng Chen Changjie Fan Yang Gao Chongjie Zhang 71 86 0 22 Nov 2021
Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods Yang Hu Zhu Zhu Sirui Song Xue Liu Yang Yu 29 0 0 20 Nov 2021
Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control Shriram Chennakesavalu Grant M. Rotskoff 18 1 0 12 Nov 2021
Coordinated Proximal Policy Optimization Zifan Wu Chao Yu Deheng Ye Junge Zhang Haiyin Piao H. Zhuo 85 46 0 07 Nov 2021
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL Chi Jin Qinghua Liu Yuanhao Wang Tiancheng Yu OffRL 93 132 0 27 Oct 2021
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 54 9 0 27 Oct 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization Zhenghao Peng Quanyi Li Ka-Ming Hui Chunxiao Liu Bolei Zhou 86 63 0 26 Oct 2021
State-based Episodic Memory for Multi-Agent Reinforcement Learning Xiao Ma Wu-Jun Li 43 8 0 19 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism Zhiwei Xu Yunpeng Bai Bin Zhang Dapeng Li Guoliang Fan 77 25 0 14 Oct 2021
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents Shivansh Patel Saim Wani Unnat Jain Alex Schwing Svetlana Lazebnik Manolis Savva Angel X. Chang LM&Ro 72 27 0 12 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning Weichao Mao Lin F. Yang Kai Zhang Tamer Bacsar 99 57 0 12 Oct 2021
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment Huifeng Guan Yuan Gao Ming Zhao Yong Yang Fuqin Deng Tin Lun Lam 59 2 0 02 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 151 27 0 01 Oct 2021
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates Jiahan Cao Lei Yuan Jianhao Wang Shaowei Zhang Chongjie Zhang Yang Yu De-Chuan Zhan 99 21 0 26 Sep 2021
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning Roy Zohar Shie Mannor Guy Tennenholtz 57 10 0 22 Sep 2021
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures Chapman Siu Jason M. Traish R. Xu OffRL 30 0 0 19 Sep 2021
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning Chapman Siu Jason M. Traish R. Xu 65 2 0 19 Sep 2021
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) Washim Uddin Mondal Mridul Agarwal Vaneet Aggarwal S. Ukkusuri 134 44 0 09 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 79 67 0 19 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 65 23 0 05 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning Jiechuan Jiang Zongqing Lu OffRL 91 39 0 04 Aug 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 77 6 0 07 Jul 2021
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments Kai Liu Yuyang Zhao Gang Wang Bei Peng 35 22 0 01 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 116 98 0 29 Jun 2021
Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods Jian Hu Siyue Hu Shih-Wei Liao 118 15 0 27 Jun 2021
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Dapeng Li Yunpeng Bai Guoliang Fan 32 11 0 22 Jun 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 94 11 0 12 Jun 2021
DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation Minghao Zhang Pingcheng Jian Yi Wu Huazhe Xu Xiaolong Wang 51 9 0 10 Jun 2021
Context-Aware Sparse Deep Coordination Graphs Tonghan Wang Liang Zeng Weijun Dong Qianlan Yang Yang Yu Chongjie Zhang 89 34 0 05 Jun 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning Chenghao Li Tonghan Wang Chengjie Wu Qianchuan Zhao Jun Yang Chongjie Zhang 72 146 0 04 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning Jiahui Li Kun Kuang Baoxiang Wang Furui Liu Long Chen Leilei Gan Jun Xiao OffRL 129 66 0 01 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 95 33 0 31 May 2021
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning Jianhong Wang Yuan Zhang Yunjie Gu Tae-Kyun Kim OffRL FAtt 74 23 0 31 May 2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition Bo Liu Qiang Liu Peter Stone Animesh Garg Yuke Zhu Anima Anandkumar 108 50 0 18 May 2021