Jointly-Trained State-Action Embedding for Efficient Reinforcement Learning

no code implementations • 28 Sep 2020 • Paul Julian Pritz, Liang Ma, Kin Leung

Model-free reinforcement learning approaches use some form of state representations and the latest work has explored embedding techniques for actions, both with the aim of achieving better generalization and applicability.

Model-based Reinforcement Learning Recommendation Systems +2