Factorized Q-Learning for Large-Scale Multi-Agent Systems

11 September 2018

Jun Wang

Papers citing "Factorized Q-Learning for Large-Scale Multi-Agent Systems"

31 / 31 papers shown

Title
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks Hyunwoo Park Baekryun Seong Sang-Ki Ko GNN 60 0 0 14 Mar 2025
Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints Jianuo Huang OffRL 27 0 0 30 Jun 2024
Matrix Low-Rank Trust Region Policy Optimization Sergio Rozada Antonio G. Marques 41 0 0 27 May 2024
Will GPT-4 Run DOOM? Adrian de Wynter LM&Ro MLLM 41 5 0 08 Mar 2024
Leveraging Factored Action Spaces for Off-Policy Evaluation Aaman Rebello Shengpu Tang Jenna Wiens Sonali Parbhoo Department of Engineering CML OffRL 18 2 0 13 Jul 2023
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance Yuchen Fang Zhen-Yu Tang Kan Ren Weiqing Liu Li Zhao Jiang Bian Dongsheng Li Weinan Zhang Yong Yu Tie-Yan Liu 28 7 0 06 Jul 2023
Towards Efficient Multi-Agent Learning Systems Kailash Gogineni Peng Wei Tian-Shing Lan Guru Venkataramani 27 4 0 22 May 2023
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare Shengpu Tang Maggie Makar Michael Sjoding Finale Doshi-Velez Jenna Wiens OffRL 48 37 0 02 May 2023
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Ignacio Carlucho Niklas Höpner Stefano V. Albrecht 42 8 0 11 Oct 2022
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios Jiajun Chai Weifan Li Yuanheng Zhu Dongbin Zhao Zhe Ma Kewu Sun Jishiyu Ding 33 43 0 28 Mar 2022
PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning Zixuan Cao Mengzhi Shi Zhanbo Zhao Xiujun Ma 32 0 0 20 Feb 2022
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 27 9 0 27 Oct 2021
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 98 49 0 06 Oct 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 24 58 0 19 Aug 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 26 32 0 31 May 2021
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games Won Joon Yun Sungwon Yi Joongheon Kim 20 10 0 21 May 2021
Adversarial Inverse Reinforcement Learning for Mean Field Games Yang Chen Libo Zhang Jiamou Liu Michael Witbrock AI4CE 49 6 0 29 Apr 2021
Low-rank State-action Value-function Approximation Sergio Rozada Victor M. Tenorio A. Marques OffRL 26 9 0 18 Apr 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 36 15 0 27 Mar 2021
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint Guangzhen Hu Yuanheng Zhu Dongbin Zhao Mengchen Zhao Jianye Hao 11 17 0 10 Oct 2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning J. K. Terry Benjamin Black Nathaniel Grammel Mario Jayakumar Ananth Hari ... Caroline Horsch Clemens Dieffendahl Niall L. Williams Yashas Lokesh Praveen Ravi OffRL 16 270 0 30 Sep 2020
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Niklas Höpner Filippos Christianos Stefano V. Albrecht 22 54 0 18 Jun 2020
Multi-Agent Determinantal Q-Learning Yaodong Yang Ying Wen Lihuan Chen Jun Wang Kun Shao D. Mguni Weinan Zhang 18 71 0 02 Jun 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 47 768 0 19 Mar 2020
Multi-Agent Game Abstraction via Graph Attention Neural Network Y. Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao 22 239 0 25 Nov 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 21 174 0 27 Sep 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning Weixun Wang Tianpei Yang Y. Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao AI4CE 18 110 0 06 Sep 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 23 785 0 14 May 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 24 52 0 26 Jan 2019
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 46 1,654 0 30 Mar 2018
Value function approximation via low-rank models H. Ong OffRL 36 20 0 31 Aug 2015