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Efficient Actor-Critic Algorithm with Hierarchical Model Learning and Planning

To improve the convergence rate and the sample efficiency, two efficient learning methods AC-HMLP and RAC-HMLP (AC-HMLP with ℓ (2)-regularization) are proposed by combining actor-critic algorithm with hierarchical model learning and planning. The hierarchical models consisting of the local and the g...

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Pubblicato in:Comput Intell Neurosci
Autori principali: Zhong, Shan, Liu, Quan, Fu, QiMing
Natura: Artigo
Lingua:Inglês
Pubblicazione: Hindawi Publishing Corporation 2016
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5066029/
https://ncbi.nlm.nih.gov/pubmed/27795704
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/4824072
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