Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer

Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva

Abstract: In many real-world applications, reinforcement learning (RL) agents might have to solve multiple tasks, each one typically modeled via a reward function. If reward functions are expressed linearly,...