SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

14 December 2022

Papers citing "SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning"

20 / 20 papers shown

Title
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning Nikunj Gupta James Zachary Hare R. Kannan Viktor Prasanna GNN 71 0 0 06 Feb 2025
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play Zelai Xu Chao Yu Ruize Zhang Huining Yuan Xiangmin Yi Shilong Ji Chuqi Wang Wenhao Tang Yu-Xiang Wang 127 0 0 04 Feb 2025
MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu Minghuan Liu Liyuan Mao Bingyi Kang Minkai Xu Yong Yu Stefano Ermon Weinan Zhang DiffM OffRL 73 31 0 03 Jan 2025
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control Timothée Anne Noah Syrkis Meriem Elhosni Florian Turati Franck Legendre Alain Jaquier Sebastian Risi LLMAG 90 2 0 16 Dec 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 57 14 0 05 Jul 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 33 1 0 30 May 2024
Variational Offline Multi-agent Skill Discovery Jiayu Chen Bhargav Ganguly Tian-Shing Lan OffRL 58 1 0 26 May 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems Eduardo Sebastián T. Duong Nikolay A. Atanasov Eduardo Montijano C. Sagüés 16 2 0 30 Dec 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning Jacob Wiebe Ranwa Al Mallah Li Li AAML 29 3 0 25 Aug 2023
Diverse Policies Converge in Reward-free Markov Decision Processe Fanqing Lin Shiyu Huang Weiwei Tu 14 0 0 23 Aug 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 18 5 0 18 May 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 12 3 0 04 Feb 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 25 119 0 19 Jan 2023
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 39 48 0 21 Sep 2022
Learning Progress Driven Multi-Agent Curriculum Wenshuai Zhao Zhiyuan Li J. Pajarinen 10 0 0 20 May 2022
Generalization in Cooperative Multi-Agent Systems Anuj Mahajan Mikayel Samvelyan Tarun Gupta Benjamin Ellis Mingfei Sun Tim Rocktaschel Shimon Whiteson AI4CE 32 15 0 31 Jan 2022
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 226 89 0 27 Sep 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z. Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 50 100 0 14 Jul 2021
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 51 208 0 18 Mar 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 128 350 0 16 Oct 2019