The StarCraft Multi-Agent Challenge

11 February 2019

Mikayel Samvelyan

Tabish Rashid

Christian Schroeder de Witt

Papers citing "The StarCraft Multi-Agent Challenge"

50 / 161 papers shown

Title
Multiagent Model-based Credit Assignment for Continuous Control Dongge Han Chris Xiaoxuan Lu Tomasz P. Michalak Michael Wooldridge 13 5 0 27 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 24 0 0 20 Dec 2021
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 35 26 0 17 Dec 2021
PantheonRL: A MARL Library for Dynamic Training Interactions Bidipta Sarkar Aditi Talati Andy Shih Dorsa Sadigh 16 16 0 13 Dec 2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge Meng Yao Qiyue Yin Jun Yang Tongtong Yu S. Shen Junge Zhang Bin Liang Kaiqi Huang 19 5 0 07 Dec 2021
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 31 18 0 05 Dec 2021
Multi-Agent Intention Sharing via Leader-Follower Forest Zeyang Liu Lipeng Wang Xuefeng Sui Kewu Sun Xuguang Lan 31 3 0 02 Dec 2021
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 Andrew Cohen Ervin Teng Vincent-Pierre Berges Ruo-Ping Dong Hunter Henry Marwan Mattar Alexander Zook Sujoy Ganguly 14 33 0 10 Nov 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization Zhenghao Peng Quanyi Li Ka-Ming Hui Chunxiao Liu Bolei Zhou 36 58 0 26 Oct 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications Borja G. Leon Murray Shanahan Francesco Belardinelli AI4CE 20 15 0 18 Oct 2021
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 Zhiwei Xu Yunpeng Bai Bin Zhang Dapeng Li Guoliang Fan 22 23 0 14 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 95 49 0 06 Oct 2021
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 Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 32 230 0 26 Sep 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 18 229 0 23 Sep 2021
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 30 92 0 14 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 16 80 0 01 Sep 2021
Heterogeneous Graph Attention Networks for Learning Diverse Communication Esmaeil Seraj Zheyuan Wang Rohan R. Paleja Matt B Sklar Anirudh Patel Matthew C. Gombolay 24 19 0 21 Aug 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 21 58 0 19 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning Jiechuan Jiang Zongqing Lu OffRL 18 37 0 04 Aug 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh A. Schwing 33 104 0 23 Jul 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning Jiahui Li Kun Kuang Baoxiang Wang Furui Liu Long Chen Fei Wu Jun Xiao OffRL 12 60 0 01 Jun 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 24 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 11 10 0 21 May 2021
Two-stage training algorithm for AI robot soccer Taeyoung Kim L. Vecchietti Kyujin Choi Sanem Sariel Dongsoo Har 21 6 0 13 Apr 2021
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 31 28 0 30 Mar 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning Jianzhun Shao Hongchang Zhang Yuhang Jiang Shuncheng He Xiangyang Ji 24 5 0 24 Feb 2021
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 Siyi Hu Fengda Zhu Xiaojun Chang Xiaodan Liang OffRL 26 71 0 20 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 136 193 0 19 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 16 202 0 04 Oct 2020
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks Douglas De Rizzo Meneghetti Reinaldo A. C. Bianchi 22 9 0 28 Sep 2020
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning Jian Hu Seth Austin Harding Haibin Wu Siyue Hu Shih-Wei Liao 16 9 0 09 Sep 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 17 433 0 03 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 25 174 0 24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 66 101 0 24 Jul 2020
S2RMs: Spatially Structured Recurrent Modules Nasim Rahaman Anirudh Goyal Muhammad Waleed Gondal M. Wuthrich Stefan Bauer Yash Sharma Yoshua Bengio Bernhard Schölkopf 21 14 0 13 Jul 2020
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Sungsoo Ahn Roben Delos Reyes Jinwoo Shin Yung Yi OffRL 25 2 0 22 Jun 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 21 345 0 18 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 23 219 0 14 Jun 2020
The Emergence of Individuality Jiechuan Jiang Zongqing Lu 18 34 0 10 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 21 63 0 07 Jun 2020
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 21 32 0 31 May 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication Jianyu Su Stephen C. Adams Peter A. Beling 18 26 0 01 Apr 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 47 767 0 19 Mar 2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning Jieyu Lin Kristina Dzeparoska S. Zhang A. Leon-Garcia Nicolas Papernot AAML 69 65 0 08 Mar 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning Yaodong Yang Jianye Hao Guangyong Chen Hongyao Tang Yingfeng Chen Yujing Hu Changjie Fan Zhongyu Wei 23 52 0 10 Feb 2020