Multi-Agent Determinantal Q-Learning

Multi-Agent Determinantal Q-Learning

2 June 2020

Jun Wang

Papers citing "Multi-Agent Determinantal Q-Learning"

19 / 19 papers shown

Title
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 35 5 0 18 May 2023
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 31 14 0 15 Nov 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
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem Muning Wen J. Kuba Runji Lin Weinan Zhang Ying Wen Jun Wang Yaodong Yang 26 178 0 30 May 2022
Multi-agent Actor-Critic with Time Dynamical Opponent Model Yuan Tian Klaus-Rudolf Kladny Qin Wang Zhiwu Huang Olga Fink AI4CE 18 7 0 12 Apr 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
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility Lukas M. Schmidt Johanna Brosig Axel Plinge Bjoern M. Eskofier Christopher Mutschler 33 33 0 15 Mar 2022
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning Zehao Dou J. Kuba Yaodong Yang FAtt 22 5 0 10 Feb 2022
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 26 38 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 37 18 0 05 Dec 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
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 35 231 0 23 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 24 58 0 19 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 35 36 0 05 Aug 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 38 11 0 12 Jun 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez Nieves Yaodong Yang Oliver Slumbers D. Mguni Ying Wen Jun Wang 22 67 0 14 Mar 2021
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers Siyi Hu Fengda Zhu Xiaojun Chang Xiaodan Liang OffRL 31 71 0 20 Jan 2021
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 140 355 0 16 Oct 2019
Determinantal point processes for machine learning Alex Kulesza B. Taskar 162 1,123 0 25 Jul 2012