Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

18 June 2020

Papers citing "Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning"

50 / 169 papers shown

Title
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 28 4 0 15 Sep 2022
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning Kai Cui Anam Tahir Gizem Ekinci Ahmed Elshamanhory Yannick Eich Mengguang Li Heinz Koeppl AI4CE 89 15 0 08 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 28 5 0 07 Sep 2022
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction Taher Jafferjee Juliusz Ziomek Tianpei Yang Zipeng Dai Jianhong Wang Matthew E. Taylor Kun Shao Jun Wang D. Mguni 32 0 0 02 Sep 2022
Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft Muhammad Junaid Khan Syed Hammad Ahmed G. Sukthankar 26 15 0 15 Aug 2022
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning Kai Liu Tianxian Zhang L. Kong 28 0 0 07 Aug 2022
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework Jianing Ye Chenghao Li Jianhao Wang Chongjie Zhang 39 2 0 12 Jul 2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning Shunyu Liu Jie Song Yihe Zhou Na Yu Kaixuan Chen Zunlei Feng Mingli Song 26 7 0 08 Jul 2022
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning Hanhan Zhou Tian-Shing Lan Vaneet Aggarwal 21 4 0 22 Jun 2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? Shuang Luo Yinchuan Li Jiahui Li Kun Kuang Furui Liu Yunfeng Shao Chao-Xiang Wu OffRL 21 6 0 20 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning Wei Fu Chao Yu Zelai Xu Jiaqi Yang Yi Wu 34 32 0 15 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Zeren Zhang Guangchong Zhou Hao Chen Guoliang Fan 21 14 0 06 Jun 2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning Haoxing Chen Guang Yang Junge Zhang Qiyue Yin Kaiqi Huang 20 2 0 02 Jun 2022
Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning Rafael Pina V. D. Silva Joosep Hook A. Kondoz 17 13 0 30 May 2022
Sparse Adversarial Attack in Multi-agent Reinforcement Learning Yi Hu Zhihua Zhang AAML 51 10 0 19 May 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Dapeng Li Bin Zhang Yuan Zhan Yunru Bai Guoliang Fan OffRL 27 6 0 20 Apr 2022
Learning to Transfer Role Assignment Across Team Sizes D. Nguyen Phuoc Nguyen Svetha Venkatesh T. Tran 13 7 0 17 Apr 2022
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning Jian Zhao Xu Hu Mingyu Yang Wen-gang Zhou Jiangcheng Zhu Houqiang Li OffRL 17 16 0 16 Mar 2022
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems Qing Fu Tenghai Qiu Jianqiang Yi Zhiqiang Pu Shiguang Wu 23 16 0 12 Mar 2022
A Survey on Reinforcement Learning Methods in Character Animation Ariel Kwiatkowski Eduardo Alvarado Vicky Kalogeiton C. Karen Liu Julien Pettré M. van de Panne Marie-Paule Cani AI4CE 19 44 0 07 Mar 2022
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation Donghan Xie Zhi Wang Chunlin Chen D. Dong OffRL 23 8 0 06 Mar 2022
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 20 9 0 28 Feb 2022
Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning Seungchan Kim Neale Van Stralen Girish Chowdhary Huy T. Tran 19 0 0 15 Feb 2022
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization Jian Zhao Yue Zhang Xu Hu Weixun Wang Wen-gang Zhou Jianye Hao Jiangcheng Zhu Houqiang Li 19 4 0 09 Feb 2022
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning Hon Tik Tse Hofung Leung 22 1 0 26 Jan 2022
Learning Multi-agent Skills for Tabular Reinforcement Learning using Factor Graphs Jiayu Chen Jingdi Chen Tian-Shing Lan Vaneet Aggarwal 22 7 0 20 Jan 2022
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients Hanhan Zhou Tian-Shing Lan Vaneet Aggarwal 26 31 0 04 Jan 2022
Multiagent Model-based Credit Assignment for Continuous Control Dongge Han Chris Xiaoxuan Lu Tomasz P. Michalak Michael Wooldridge 19 5 0 27 Dec 2021
A Graph Attention Learning Approach to Antenna Tilt Optimization Yifei Jin Filippo Vannella Maxime Bouton Jaeseong Jeong Ezeddin Al Hakim 21 10 0 27 Dec 2021
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning Raphael Avalos Mathieu Reymond Ann Nowé D. Roijers OffRL 25 6 0 23 Dec 2021
Self-Organized Polynomial-Time Coordination Graphs Qianlan Yang Weijun Dong Zhizhou Ren Jianhao Wang Tonghan Wang Chongjie Zhang 18 16 0 07 Dec 2021
Multi-Agent Intention Sharing via Leader-Follower Forest Zeyang Liu Lipeng Wang Xuefeng Sui Kewu Sun Xuguang Lan 34 3 0 02 Dec 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 16 82 0 22 Nov 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning Zhaoxing Yang Rong Ding Haiming Jin Yifei Wei Haoyi You Guiyun Fan Xiaoying Gan Xinbing Wang 32 4 0 10 Nov 2021
State-based Episodic Memory for Multi-Agent Reinforcement Learning Xiao Ma Wu-Jun Li 13 8 0 19 Oct 2021
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning Yuchen Xiao Xueguang Lyu Chris Amato 11 9 0 16 Oct 2021
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication Justin Lidard Udari Madhushani Naomi Ehrich Leonard OffRL 61 6 0 14 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism Zhiwei Xu Yunpeng Bai Bin Zhang Dapeng Li Guoliang Fan 22 23 0 14 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 26 19 0 26 Sep 2021
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning Roy Zohar Shie Mannor Guy Tennenholtz 24 8 0 22 Sep 2021
Learning Multi-agent Action Coordination via Electing First-move Agent Jingqing Ruan Linghui Meng Xuantang Xiong Dengpeng Xing Bo Xu 20 2 0 20 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 33 43 0 09 Sep 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 11 40 0 29 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh A. Schwing 36 104 0 23 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 31 87 0 29 Jun 2021
Context-Aware Sparse Deep Coordination Graphs Tonghan Wang Liang Zeng Weijun Dong Qianlan Yang Yang Yu Chongjie Zhang 23 32 0 05 Jun 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning Chenghao Li Tonghan Wang Chengjie Wu Qianchuan Zhao Jun Yang Chongjie Zhang 29 136 0 04 Jun 2021
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning Jianhong Wang Yuan Zhang Yunjie Gu Tae-Kyun Kim OffRL FAtt 22 19 0 31 May 2021
Unbiased Asymmetric Reinforcement Learning under Partial Observability Andrea Baisero Chris Amato OffRL 16 19 0 25 May 2021
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients Bozhidar Vasilev Tarun Gupta Bei Peng Shimon Whiteson 14 1 0 27 Apr 2021