The StarCraft Multi-Agent Challenge

11 Feb 2019Mikayel SamvelyanTabish RashidChristian Schroeder de WittGregory FarquharNantas NardelliTim G. J. RudnerChia-Man HungPhilip H. S. TorrJakob FoersterShimon Whiteson

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 while conditioning only on their private observations... (read more)

PDF Abstract

Evaluation results from the paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.