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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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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2016
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| Assuntos: | |
| Acesso em linha: | 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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