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...
Na minha lista:
| Publicado no: | Computación y Sistemas |
|---|---|
| Principais autores: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Instituto Politécnico Nacional
2009
|
| Assuntos: | |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=61513250002 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|