Alireza Rashidi Laleh

Online Policy-Wise State Abstraction for Reinforcement Learning Agents Leveraging Free Energy.

This work proposes a dynamic, online, policy-wise state abstraction framework that constructs compact, task-relevant state representations (state abstraction candidates) during learning without prior knowledge, yielding lower regret and higher reward, particularly under limited learning budgets.