AsistO: A Qualitative MDP-based Recommender System for Power Plant Operation

@article{Reyes2009AsistOAQ,
  title={AsistO: A Qualitative MDP-based Recommender System for Power Plant Operation},
  author={Alberto Reyes and Luis Enrique Sucar and Eduardo F. Morales},
  journal={Computaci{\'o}n y Sistemas},
  year={2009},
  volume={13}
}
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 model is refined using variance in the utility values as… CONTINUE READING