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Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

Klissarov, Martin et al.
arXiv (All) · Papers
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Developing agents capable of exploring, planning and learning in complex open-ended environments is a grand challenge in artificial intelligence (AI). Hierarchical reinforcement learning (HRL) offers a promising solution to this challenge by discovering and exploiting the temporal structure within a
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