A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes

Stéphane Ross, Joelle Pineau, Brahim Chaib-draa, Pierre Kreitmann. A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes. Journal of Machine Learning Research, 12:1729-1770, 2011. [doi]

@article{RossPCK11,
  title = {A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes},
  author = {Stéphane Ross and Joelle Pineau and Brahim Chaib-draa and Pierre Kreitmann},
  year = {2011},
  url = {http://dl.acm.org/citation.cfm?id=2021055},
  researchr = {https://researchr.org/publication/RossPCK11},
  cites = {0},
  citedby = {0},
  journal = {Journal of Machine Learning Research},
  volume = {12},
  pages = {1729-1770},
}