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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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Detalhes bibliográficos
Main Authors: Fu, Yuchen, Liu, Quan, Ling, Xionghong, Cui, Zhiming
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2014
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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