Reward-Free Policy Space Compression for Reinforcement Learning

Mirco Mutti, Stefano Del Col, Marcello Restelli

In reinforcement learning, we encode the potential behaviors of an agent interacting with an environment into an infinite set of policies, the policy space, typically represented b…