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

A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes
Stphane Ross and Joelle Pineau and Brahim Chaib-draa and Pierre Kreitmann

A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes.pdf	372.87kB

Type: Paper
Tags:

Bibtex:

@article{12:48,author={Stphane Ross and Joelle Pineau and Brahim Chaib-draa and Pierre Kreitmann}, Title={A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes},journal={Journal of Machine Learning Research},volume={12}, url={http://www.jmlr.org/papers/volume12/ross11a/ross11a.pdf}}

Send Feedback

A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes Stphane Ross and Joelle Pineau and Brahim Chaib-draa and Pierre Kreitmann

A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes
Stphane Ross and Joelle Pineau and Brahim Chaib-draa and Pierre Kreitmann