most citedCreating Multi-Level Skill Hierarchies in Reinforcement Learning

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cs.LG2025

Learning The Minimum Action Distance

Lorenzo Steccanella, Joshua B. Evans, Özgür Şimşek +1

This paper presents a state representation framework for Markov decision processes (MDPs) that can be learned solely from state trajectories, requiring neither reward signals nor t…

cs.LG2023★ 1 cited

Creating Multi-Level Skill Hierarchies in Reinforcement Learning

Joshua B. Evans, Özgür Şimşek

What is a useful skill hierarchy for an autonomous agent? We propose an answer based on a graphical representation of how the interaction between an agent and its environment may u…