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.pdf	372.87kB

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@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}}

Citation:

Ross, S., Pineau, J., Chaib-draa, B., & Kreitmann, P.. (2014). A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes [Data set]. Academic Torrents. https://academictorrents.com/details/55f4ffc91509ab0f716cb86c642585a25bfb93cd

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