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The StarCraft Multi-Agent Challenge

The StarCraft Multi-Agent Challenge

11 February 2019
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Philip H. S. Torr
Jakob N. Foerster
Shimon Whiteson
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Papers citing "The StarCraft Multi-Agent Challenge"

50 / 164 papers shown
Title
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
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
28
17
0
27 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement
  Learning
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
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
Aravind Venugopal
Stephanie Milani
Fei Fang
Balaraman Ravindran
OffRL
16
0
0
12 Apr 2023
Effective and Stable Role-Based Multi-Agent Collaboration by Structural
  Information Principles
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
Xianghua Zeng
Hao Peng
Angsheng Li
11
28
0
03 Apr 2023
The challenge of redundancy on multi-agent value factorisation
The challenge of redundancy on multi-agent value factorisation
Siddarth S. Singh
Benjamin Rosman
36
1
0
28 Mar 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative
  Multi-Agent Reinforcement Learning
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning
Shuhan Qi
Shuhao Zhang
Qiang-qiang Wang
Jia-jia Zhang
Jing Xiao
X. Wang
26
0
0
16 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent
  Reinforcement Learning
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning
Ji-Yun Oh
Joonkee Kim
Minchan Jeong
Se-Young Yun
30
1
0
03 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for
  Multi-Agent Reinforcement Learning
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
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning
Xuefeng Wang
Xinran Li
Jiawei Shao
Jun Zhang
11
3
0
24 Feb 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority
  Optimization
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
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
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
30
11
0
11 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent
  Deep Reinforcement Learning via Multi-Timescale Learning
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
25
13
0
06 Feb 2023
Dual Self-Awareness Value Decomposition Framework without Individual
  Global Max for Cooperative Multi-Agent Reinforcement Learning
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
28
3
0
04 Feb 2023
Best Possible Q-Learning
Best Possible Q-Learning
Jiechuan Jiang
Zongqing Lu
OffRL
20
5
0
02 Feb 2023
Heterogeneous Multi-Robot Reinforcement Learning
Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini
Ajay Shankar
Amanda Prorok
22
40
0
17 Jan 2023
Self-Motivated Multi-Agent Exploration
Self-Motivated Multi-Agent Exploration
Shaowei Zhang
Jiahan Cao
Lei Yuan
Yang Yu
De-Chuan Zhan
41
5
0
05 Jan 2023
Scalable Communication for Multi-Agent Reinforcement Learning via
  Transformer-Based Email Mechanism
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
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
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
K. Mehta
Anuj Mahajan
Priyesh Kumar
16
7
0
10 Dec 2022
Curriculum Learning for Relative Overgeneralization
Curriculum Learning for Relative Overgeneralization
Lin Shi
Bei Peng
22
1
0
06 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel
  Program Guidance
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
C. Chang
Ni Mu
Jiajun Wu
Ling Pan
Huazhe Xu
48
7
0
05 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player
  Multi-Agent Learning Toolbox
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
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Lipeng Wan
Zeyang Liu
Xingyu Chen
Xuguang Lan
Han Wang
37
12
0
22 Nov 2022
Coordination for Connected and Automated Vehicles at Non-signalized
  Intersections: A Value Decomposition-based Multiagent Deep Reinforcement
  Learning Approach
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
28
14
0
15 Nov 2022
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement
  Learning
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
Jennifer She
Jayesh K. Gupta
Mykel J. Kochenderfer
26
4
0
31 Oct 2022
Non-Linear Coordination Graphs
Non-Linear Coordination Graphs
Yipeng Kang
Tonghan Wang
Xiao-Ren Wu
Qianlan Yang
Chongjie Zhang
29
9
0
26 Oct 2022
PTDE: Personalized Training with Distilled Execution for Multi-Agent
  Reinforcement Learning
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
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
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
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
32
27
0
18 Sep 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent
  Reinforcement Learning
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Kefan Su
Siyuan Zhou
Jiechuan Jiang
Chuang Gan
Xiangjun Wang
Zongqing Lu
OffRL
28
6
0
17 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Zichuan Liu
Zichuan Liu
Zhi Wang
Yuanyang Zhu
Chunlin Chen
57
5
0
15 Sep 2022
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to
  Cooperative MARL
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL
J. Kuba
Xidong Feng
Shiyao Ding
Hao Dong
Jun Wang
Yaodong Yang
18
16
0
02 Aug 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
Matteo Bettini
Ryan Kortvelesy
J. Blumenkamp
Amanda Prorok
18
36
0
07 Jul 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning
  Environments
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
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
35
108
0
17 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent
  Reinforcement Learning
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu
Chao Yu
Zelai Xu
Jiaqi Yang
Yi Wu
32
32
0
15 Jun 2022
Policy Optimization for Markov Games: Unified Framework and Faster
  Convergence
Policy Optimization for Markov Games: Unified Framework and Faster Convergence
Runyu Zhang
Qinghua Liu
Haiquan Wang
Caiming Xiong
Na Li
Yu Bai
19
26
0
06 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
16
14
0
06 Jun 2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in
  Multi-Agent Deep Reinforcement Learning
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
15
2
0
02 Jun 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Muning Wen
J. Kuba
Runji Lin
Weinan Zhang
Ying Wen
J. Wang
Yaodong Yang
26
178
0
30 May 2022
Efficient Distributed Framework for Collaborative Multi-Agent
  Reinforcement Learning
Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning
Shuhan Qi
Shuhao Zhang
Xiaohan Hou
Jia-jia Zhang
X. Wang
Jing Xiao
13
0
0
11 May 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent
  Reinforcement Learning
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Bin Zhang
Yuan Zhan
Yunru Bai
Guoliang Fan
OffRL
21
6
0
20 Apr 2022
Towards Comprehensive Testing on the Robustness of Cooperative
  Multi-agent Reinforcement Learning
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning
Jun Guo
Yonghong Chen
Yihang Hao
Zixin Yin
Yin Yu
Simin Li
AAML
30
32
0
17 Apr 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy
  Optimization
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
Zihan Zhou
Wei Fu
Bingliang Zhang
Yi Wu
25
28
0
04 Apr 2022
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative
  Scenarios
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios
Jiajun Chai
Weifan Li
Yuanheng Zhu
Dongbin Zhao
Zhe Ma
Kewu Sun
Jishiyu Ding
28
43
0
28 Mar 2022
Coach-assisted Multi-Agent Reinforcement Learning Framework for
  Unexpected Crashed Agents
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents
Jian Zhao
Youpeng Zhao
Weixun Wang
Mingyu Yang
Xu Hu
Wen-gang Zhou
Jianye Hao
Houqiang Li
15
7
0
16 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
30
19
0
09 Mar 2022
Depthwise Convolution for Multi-Agent Communication with Enhanced
  Mean-Field Approximation
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
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