Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

1 code implementation • ICLR 2020 • Qian Long, Zihan Zhou, Abhibav Gupta, Fei Fang, Yi Wu, Xiaolong Wang

In multi-agent games, the complexity of the environment can grow exponentially as the number of agents increases, so it is particularly challenging to learn good policies when the agent population is large.

Multi-agent Reinforcement Learning reinforcement-learning +1