State Abstractions for Lifelong Reinforcement Learning

David Abel, Dilip Arumugam, Lucas Lehnert, Michael L. Littman

Abstract: In lifelong reinforcement learning, agents must effectively transfer knowledge across tasks while simultaneously addressing exploration, credit assignment, and generalization. State abstraction can...