Optimistic Bayesian Sampling in Contextual-Bandit Problems
Benedict C. May and Nathan Korda and Anthony Lee and David S. Leslie

Optimistic Bayesian Sampling in Contextual-Bandit Problems.pdf 9.99MB
Type: Paper
Tags:

Metadata:
@article{13:67,author={Benedict C. May and Nathan Korda and Anthony Lee and David S. Leslie}, Title={Optimistic Bayesian Sampling in Contextual-Bandit Problems},journal={Journal of Machine Learning Research},volume={13}, url={http://www.jmlr.org/papers/volume13/may12a/may12a.pdf}}
Citation:
May, B. C., Korda, N., Lee, A., & Leslie, D. S.. (2014). Optimistic Bayesian Sampling in Contextual-Bandit Problems [Data set]. Academic Torrents. https://academictorrents.com/details/0b5365e25cf26e1a7592b634ead614db82ed6031
10 day statistics (2 downloads)
Average Time 57 mins, 14 secs
Average Speed 2.91kB/s
Best Time 1 mins, 31 secs
Best Speed 109.79kB/s
Worst Time 1 hrs, 52 mins, 58 secs
Worst Speed 1.47kB/s

Send Feedback