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A Reward Optimization Method Based on Action Subrewards in Hierarchical Reinforcement Learning
Reinforcement learning (RL) is one kind of interactive learning methods. Its main characteristics are “trial and error” and “related reward.” A hierarchical reinforcement learning method based on action subrewards is proposed to solve the problem of “curse of dimensionality,” which means that the st...
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Main Authors: | , , , |
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Formato: | Artigo |
Idioma: | Inglês |
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Hindawi Publishing Corporation
2014
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3926376/ https://ncbi.nlm.nih.gov/pubmed/24600318 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/120760 |
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