Lukas' Notes

reinforcement-learning

Definition

Markov Decision Process

A Markov decision process (MDP) is the tuple modelling an agent interacting with an environment over discrete time, where the environment’s response satisfies the Markov property.

At step , the agent in state selects via a policy , then receives and transitions to . The goal is to choose maximising the expected discounted return