Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?

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Other Links: arxiv.org

Abstract:

Hierarchical reinforcement learning has demonstrated significant success at solving difficult reinforcement learning (RL) tasks. Previous works have motivated the use of hierarchy by appealing to a number of intuitive benefits, including learning over temporally extended transitions, exploring over temporally extended periods, and train...More

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