AsistO: A Qualitative MDP-based Recommender System for Power Plant Operation
This paper proposes a novel and practical model-based learning approach with iterative refinement for solving continuous (and hybrid) Markov decision processes. Initially, an approximate model is learned using conventional sampling methods and solved to obtain a policy. Iteratively, the approximate...
Gorde:
| Argitaratua izan da: | Computación y Sistemas |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Instituto Politécnico Nacional
2009
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| Gaiak: | |
| Sarrera elektronikoa: | https://www.redalyc.org/articulo.oa?id=61513250002 |
| Etiketak: |
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