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:

Metadata: 
@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
No stats to report yet.
Related Torrents
Report
Send Feedback Start
   0.000007
DB Connect
   0.000555
Lookup hash in DB
   0.000517
Get torrent details
   0.000291
Get torrent details, finished
   0.000564
Get authors
   0.000001
Select authors
   0.000668
Parse bibtex
   0.000106
Write header
   0.000573
get stars
   0.000208
home tab
   0.000188
render right panel
   0.000007
render ads
   0.000610
fetch current hosters
   0.000414
Start get stats
   0.000628
End get stats
   0.000002
related datasets
   0.001153
Done