Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes

Nathalie Peyrard, Régis Sabbadin. Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes. In Gerhard Brewka, Silvia Coradeschi, Anna Perini, Paolo Traverso, editors, ECAI 2006, 17th European Conference on Artificial Intelligence, August 29 - September 1, 2006, Riva del Garda, Italy, Including Prestigious Applications of Intelligent Systems (PAIS 2006), Proceedings. Volume 141 of Frontiers in Artificial Intelligence and Applications, pages 595-599, IOS Press, 2006.

@inproceedings{PeyrardS06,
  title = {Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes},
  author = {Nathalie Peyrard and Régis Sabbadin},
  year = {2006},
  tags = {rule-based, graph-rewriting, Markov, rewriting},
  researchr = {https://researchr.org/publication/PeyrardS06},
  cites = {0},
  citedby = {0},
  pages = {595-599},
  booktitle = {ECAI 2006, 17th European Conference on Artificial Intelligence, August 29 - September 1, 2006, Riva del Garda, Italy, Including Prestigious Applications of Intelligent Systems (PAIS 2006), Proceedings},
  editor = {Gerhard Brewka and Silvia Coradeschi and Anna Perini and Paolo Traverso},
  volume = {141},
  series = {Frontiers in Artificial Intelligence and Applications},
  publisher = {IOS Press},
  isbn = {1-58603-642-4},
}