Options as responses: Grounding behavioural hierarchies in multi-agent RL

no code implementations • 4 Jun 2019 • Alexander Sasha Vezhnevets, Yuhuai Wu, Remi Leblond, Joel Z. Leibo

This paper investigates generalisation in multi-agent games, where the generality of the agent can be evaluated by playing against opponents it hasn't seen during training.

Multi-agent Reinforcement Learning Reinforcement Learning (RL)