The StarCraft Multi-Agent Challenge
In the last few years, deep multi-agent reinforcement learning (RL) has become a highly active area of research. A particularly challenging class of problems in this area is partially observable, cooperative, multi-agent learning, in which teams of agents must learn to coordinate their behaviour whi...
Main Authors: | Mikayel Samvelyan, Tabish Rashid, Christian Schroeder de Witt, Gregory Farquhar, Nantas Nardelli, Tim GJ Rudner, Chia-Man Hung, Philip HS Torr, Jakob Foerster, Shimon Whiteson |
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Format: | Conference item |
Published: |
International Foundation for Autonomous Agents and Multiagent Systems
2019
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