Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

18 May 2017Nat DilokthanakulChristos KaplanisNick PawlowskiMurray Shanahan

The problem of sparse rewards is one of the hardest challenges in contemporary reinforcement learning. Hierarchical reinforcement learning (HRL) tackles this problem by using a set of temporally-extended actions, or options, each of which has its own subgoal... (read more)

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