The StarCraft Multi-Agent Challenge

11 February 2019

Mikayel Samvelyan

Tabish Rashid

Christian Schroeder de Witt

Papers citing "The StarCraft Multi-Agent Challenge"

50 / 177 papers shown

Title
Enhancing the Robustness of QMIX against State-adversarial Attacks Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 32 7 0 03 Jul 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 40 2 0 05 Jun 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? Yihe Zhou Shunyu Liu Yunpeng Qing Kaixuan Chen Tongya Zheng Yanhao Huang Jie Song 31 18 0 27 May 2023
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
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning Aravind Venugopal Stephanie Milani Fei Fang Balaraman Ravindran OffRL 21 0 0 12 Apr 2023
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li 19 28 0 03 Apr 2023
The challenge of redundancy on multi-agent value factorisation Siddarth S. Singh Benjamin Rosman 39 1 0 28 Mar 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Qiang-qiang Wang Jia-jia Zhang Jing Xiao Xinyu Wang 34 0 0 16 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning Ji-Yun Oh Joonkee Kim Minchan Jeong Se-Young Yun 32 1 0 03 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 24 7 0 01 Mar 2023
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning Xuefeng Wang Xinran Li Jiawei Shao Jun Zhang 16 3 0 24 Feb 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 39 38 0 21 Feb 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems D. Mguni Hao Chen Taher Jafferjee Jianhong Wang Long Fei Xidong Feng Stephen Marcus McAleer Feifei Tong Jun Wang Yaodong Yang 30 1 0 12 Feb 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning Yongsheng Mei Hanhan Zhou Tian-Shing Lan 35 11 0 11 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei Akilesh Badrinaaraayanan Amit Sinha Mohammad Amini Janarthanan Rajendran Aditya Mahajan Sarath Chandar 31 13 0 06 Feb 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 30 3 0 04 Feb 2023
Best Possible Q-Learning Jiechuan Jiang Zongqing Lu OffRL 22 5 0 02 Feb 2023
Heterogeneous Multi-Robot Reinforcement Learning Matteo Bettini Ajay Shankar Amanda Prorok 22 40 0 17 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 44 5 0 05 Jan 2023
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism Xudong Guo Daming Shi Wenhui Fan 22 5 0 05 Jan 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Benjamin Ellis Jonathan Cook S. Moalla Mikayel Samvelyan Mingfei Sun Anuj Mahajan Jakob N. Foerster Shimon Whiteson 19 83 0 14 Dec 2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning K. Mehta Anuj Mahajan Kiran Ravish 24 7 0 10 Dec 2022
Curriculum Learning for Relative Overgeneralization Lin Shi Bei Peng 28 1 0 06 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance C. Chang Ni Mu Jiajun Wu Ling Pan Huazhe Xu 50 7 0 05 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 20 13 0 01 Dec 2022
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning Lipeng Wan Zeyang Liu Xingyu Chen Xuguang Lan Han Wang 45 12 0 22 Nov 2022
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition Pascal Leroy J. Pisane D. Ernst 19 3 0 21 Nov 2022
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
Decentralized Policy Optimization Kefan Su Zongqing Lu 13 8 0 06 Nov 2022
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning Jennifer She Jayesh K. Gupta Mykel J. Kochenderfer 28 4 0 31 Oct 2022
Non-Linear Coordination Graphs Yipeng Kang Tonghan Wang Xiao-Ren Wu Qianlan Yang Chongjie Zhang 31 9 0 26 Oct 2022
ERL-Re $^2$ : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Jianye Hao Pengyi Li Hongyao Tang Yan Zheng Xian Fu Zhaopeng Meng 24 23 0 26 Oct 2022
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning Yiqun Chen Hangyu Mao Jiaxin Mao Shiguang Wu Tianle Zhang Bin Zhang Bin Wang Hong Chang OffRL 36 7 0 17 Oct 2022
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan M. Li Chao Qian Zongzhang Zhang Yang Yu 37 29 0 13 Oct 2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 24 7 0 04 Oct 2022
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning Hua Wei Jingxiao Chen Xiyang Ji Hongyang Qin Minwen Deng ... Lin Liu Lanxiao Huang Deheng Ye Qiang Fu Wei Yang 35 27 0 18 Sep 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning Kefan Su Siyuan Zhou Jiechuan Jiang Chuang Gan Xiangjun Wang Zongqing Lu OffRL 33 6 0 17 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 60 5 0 15 Sep 2022
Learning to Deceive in Multi-Agent Hidden Role Games Matthew Aitchison L. Benke Penny Sweetser OffRL 17 5 0 04 Sep 2022
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL J. Kuba Xidong Feng Shiyao Ding Hao Dong Jun Wang Yaodong Yang 23 16 0 02 Aug 2022
Self-Explaining Deviations for Coordination Hengyuan Hu Samuel Sokota David J. Wu A. Bakhtin Andrei Lupu Brandon Cui Jakob N. Foerster 17 2 0 13 Jul 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning Matteo Bettini Ryan Kortvelesy J. Blumenkamp Amanda Prorok 18 36 0 07 Jul 2022
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world Eugene Vinitsky Nathan Lichtlé Xiaomeng Yang Brandon Amos Jakob N. Foerster OffRL 38 51 0 20 Jun 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments Mohan Zhang Xiaozhou Wang Benjamin Decardi-Nelson Bo Song A. Zhang ... Jiayi Cheng Xiaohong Liu DengDeng Yu Matthew Poon Animesh Garg 13 4 0 17 Jun 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning Yuanpei Chen Tianhao Wu Shengjie Wang Xidong Feng Jiechuan Jiang ... Yiran Geng Hao Dong Zongqing Lu Song-Chun Zhu Yaodong Yang OffRL 38 108 0 17 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
Policy Optimization for Markov Games: Unified Framework and Faster Convergence Runyu Zhang Qinghua Liu Haiquan Wang Caiming Xiong Na Li Yu Bai 27 26 0 06 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
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