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DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning

International Conference on Machine Learning (ICML), 2021

16 February 2021

Chun-Yi Lee

Papers citing "DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning"

26 / 26 papers shown

Title
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination DynamicsAdaptive Agents and Multi-Agent Systems (AAMAS), 2025 S. Hazra P. Dasgupta Soumyajit Dey 252 0 0 21 Jan 2025
Foundations of Multivariate Distributional Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024 Harley Wiltzer Jesse Farebrother Arthur Gretton Mark Rowland OffRL 237 7 0 31 Aug 2024
QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value DecompositionNeural Networks (NN), 2024 Songchen Fu Shaojing Zhao Ta Li Yonghong Yan 195 4 0 12 Aug 2024
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning Wei Duan Jie Lu Junyu Xuan 222 11 0 28 Mar 2024
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV TrackingIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Yujiao Zhu Ming Chen Sihua Wang Ye Hu Yuchen Liu Changchuan Yin 97 13 0 22 Jan 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 278 30 0 15 Dec 2023
Noise Distribution Decomposition based Multi-Agent Distributional Reinforcement LearningIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Wei Geng Baidi Xiao Rongpeng Li Ning Wei Dong Wang Zhifeng Zhao 219 2 0 12 Dec 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value FactorizationNeural Information Processing Systems (NeurIPS), 2023 Siqi Shen Chennan Ma Chao Li Weiquan Liu Yongquan Fu Songzhu Mei Xinwang Liu Cheng-Yu Wang 136 18 0 03 Nov 2023
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Xiao Hu P. Guo Chuanwei Zhou Tong Zhang Zhen Cui 120 0 0 24 Jun 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningJournal of machine learning research (JMLR), 2023 Wei-Fang Sun Cheng-Kuang Lee Simon See Chun-Yi Lee OffRL 180 2 0 04 Jun 2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum GamesInternational Conference on Neural Information Processing (ICONIP), 2023 Ziyi Liu Yongchun Fang 151 2 0 14 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Ji-Yun Oh Joonkee Kim Minchan Jeong Se-Young Yun 153 1 0 03 Mar 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 286 3 0 04 Feb 2023
Decision-making with Speculative Opponent ModelsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Jing-rong Sun Shuo Chen Cong Zhang Yining Ma Jie Zhang 176 2 0 22 Nov 2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Jifeng Hu Yanchao Sun Hechang Chen Sili Huang Haiyin Piao Yi-Ju Chang Lichao Sun 165 7 0 14 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARLNeural Information Processing Systems (NeurIPS), 2022 R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 175 60 0 21 Sep 2022
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Yi-Te Hong Yaochu Jin Yang Tang 132 28 0 20 Sep 2022
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions Mingyu Kim Ji-Yun Oh Yongsik Lee Joonkee Kim S. Kim Song Chong Se-Young Yun 217 2 0 05 Jul 2022
Risk Perspective Exploration in Distributional Reinforcement Learning Ji-Yun Oh Joonkee Kim Se-Young Yun 133 5 0 28 Jun 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games Ziyi Liu Xian Guo Yongchun Fang 271 0 0 31 May 2022
Efficient CDF Approximations for Normalizing Flows Chandramouli Shama Sastry Andreas M. Lehrmann Marcus A. Brubaker A. Radovic 98 1 0 23 Feb 2022
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement LearningIEEE Transactions on Games (IEEE Trans. Games), 2022 Jian Zhao Mingyu Yang Youpeng Zhao Xu Hu Wen-gang Zhou Jiangcheng Zhu Houqiang Li 155 7 0 21 Feb 2022
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning Hon Tik Tse Hofung Leung 155 1 0 26 Jan 2022
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 274 28 0 01 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Zhenxing Ge Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 239 144 0 14 Sep 2021
Towards Understanding Cooperative Multi-Agent Q-Learning with Value FactorizationNeural Information Processing Systems (NeurIPS), 2020 Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 416 44 0 31 May 2020