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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 / 177 papers shown
Title
Off-Beat Multi-Agent Reinforcement Learning
Off-Beat Multi-Agent Reinforcement Learning
Wei Qiu
Weixun Wang
R. Wang
Bo An
Yujing Hu
S. Obraztsova
Zinovi Rabinovich
Jianye Hao
Yingfeng Chen
Changjie Fan
OffRL
29
2
0
27 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
Xinyu Wang
Jing Xiao
16
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
27
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
32
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
33
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
38
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
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy
  Regularization
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization
Jian Zhao
Yue Zhang
Xu Hu
Weixun Wang
Wen-gang Zhou
Jianye Hao
Jiangcheng Zhu
Houqiang Li
19
4
0
09 Feb 2022
Multiagent Model-based Credit Assignment for Continuous Control
Multiagent Model-based Credit Assignment for Continuous Control
Dongge Han
Chris Xiaoxuan Lu
Tomasz P. Michalak
Michael Wooldridge
19
5
0
27 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information
  Bottleneck in Multi-Agent Reinforcement Learning
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
Qi Tian
Kun Kuang
Baoxiang Wang
Furui Liu
Fei Wu
26
0
0
20 Dec 2021
Autonomous Reinforcement Learning: Formalism and Benchmarking
Autonomous Reinforcement Learning: Formalism and Benchmarking
Archit Sharma
Kelvin Xu
Nikhil Sardana
Abhishek Gupta
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
41
26
0
17 Dec 2021
PantheonRL: A MARL Library for Dynamic Training Interactions
PantheonRL: A MARL Library for Dynamic Training Interactions
Bidipta Sarkar
Aditi Talati
Andy Shih
Dorsa Sadigh
18
16
0
13 Dec 2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Meng Yao
Qiyue Yin
Jun Yang
Tongtong Yu
S. Shen
Junge Zhang
Bin Liang
Kaiqi Huang
21
5
0
07 Dec 2021
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence
  Model Tackles All SMAC Tasks
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
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 Intention Sharing via Leader-Follower Forest
Multi-Agent Intention Sharing via Leader-Follower Forest
Zeyang Liu
Lipeng Wang
Xuefeng Sui
Kewu Sun
Xuguang Lan
34
3
0
02 Dec 2021
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven
  Exploration
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration
Lu Zheng
Jiarui Chen
Jianhao Wang
Jiamin He
Yujing Hu
Yingfeng Chen
Changjie Fan
Yang Gao
Chongjie Zhang
16
82
0
22 Nov 2021
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement
  Learning
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
Andrew Cohen
Ervin Teng
Vincent-Pierre Berges
Ruo-Ping Dong
Hunter Henry
Marwan Mattar
Alexander Zook
Sujoy Ganguly
21
33
0
10 Nov 2021
Learning to Simulate Self-Driven Particles System with Coordinated
  Policy Optimization
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization
Zhenghao Peng
Quanyi Li
Ka-Ming Hui
Chunxiao Liu
Bolei Zhou
44
58
0
26 Oct 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following
  Temporal Specifications
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
AI4CE
26
15
0
18 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with
  Theory of Mind
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuan-Fang Wang
Fangwei Zhong
Jing Xu
Yizhou Wang
LLMAG
19
68
0
15 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with
  Dual Coordination Mechanism
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Zhiwei Xu
Yunpeng Bai
Bin Zhang
Dapeng Li
Guoliang Fan
22
23
0
14 Oct 2021
Multi-Agent Constrained Policy Optimisation
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
Divergence-Regularized Multi-Agent Actor-Critic
Divergence-Regularized Multi-Agent Actor-Critic
Kefan Su
Zongqing Lu
46
25
0
01 Oct 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable
  Reinforcement Learning
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Quanyi Li
Zhenghao Peng
Lan Feng
Qihang Zhang
Zhenghai Xue
Bolei Zhou
39
230
0
26 Sep 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
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
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
36
92
0
14 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin
Maziar Gomrokchi
Harsh Satija
H. V. Hoof
Doina Precup
OffRL
21
80
0
01 Sep 2021
Heterogeneous Graph Attention Networks for Learning Diverse
  Communication
Heterogeneous Graph Attention Networks for Learning Diverse Communication
Esmaeil Seraj
Zheyuan Wang
Rohan R. Paleja
Matt B Sklar
Anirudh Patel
Matthew C. Gombolay
29
19
0
21 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients
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
Offline Decentralized Multi-Agent Reinforcement Learning
Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang
Zongqing Lu
OffRL
25
37
0
04 Aug 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
A. Schwing
36
104
0
23 Jul 2021
SA-MATD3:Self-attention-based multi-agent continuous control method in
  cooperative environments
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments
Kai Liu
Yuyang Zhao
Gang Wang
Bei Peng
25
18
0
01 Jul 2021
A New Formalism, Method and Open Issues for Zero-Shot Coordination
A New Formalism, Method and Open Issues for Zero-Shot Coordination
Johannes Treutlein
Michael Dennis
Caspar Oesterheld
Jakob N. Foerster
OffRL
21
35
0
11 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Jiahui Li
Kun Kuang
Baoxiang Wang
Furui Liu
Long Chen
Fei Wu
Jun Xiao
OffRL
17
60
0
01 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
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
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang
Yuan Zhang
Yunjie Gu
Tae-Kyun Kim
OffRL
FAtt
22
19
0
31 May 2021
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural
  Architectures for Real-Time Strategy Games
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
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent
  Reinforcement Learning
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
Yuan Pu
Shaochen Wang
Rui Yang
Xin Yao
Bin Li
13
19
0
14 Apr 2021
Two-stage training algorithm for AI robot soccer
Two-stage training algorithm for AI robot soccer
Taeyoung Kim
L. Vecchietti
Kyujin Choi
Sanem Sariel
Dongsoo Har
21
6
0
13 Apr 2021
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
Jennifer J. Sun
Tomomi Karigo
Dipam Chakraborty
Sharada Mohanty
Benjamin Wild
...
Chen Chen
D. Anderson
Pietro Perona
Yisong Yue
Ann Kennedy
32
47
0
06 Apr 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train
  Coordination on a Grid World
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
Florian Laurent
Manuel Schneider
Christian Scheller
J. Watson
Jiaoyang Li
...
Nilabha Bhattacharya
Shivam Agarwal
A. Egli
Erik Nygren
Sharada Mohanty
36
28
0
30 Mar 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent
  Reinforcement Learning
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
Jianzhun Shao
Hongchang Zhang
Yuhang Jiang
Shuncheng He
Xiangyang Ji
29
5
0
24 Feb 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter
  Sharing
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Filippos Christianos
Georgios Papoudakis
Arrasy Rahman
Stefano V. Albrecht
17
114
0
15 Feb 2021
UPDeT: Universal Multi-agent Reinforcement Learning via Policy
  Decoupling with Transformers
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
Siyi Hu
Fengda Zhu
Xiaojun Chang
Xiaodan Liang
OffRL
34
71
0
20 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
30
203
0
04 Oct 2020
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph
  Neural Networks
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks
Douglas De Rizzo Meneghetti
Reinaldo A. C. Bianchi
22
9
0
28 Sep 2020
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