590 search results - page 68 / 118 » Can We Learn to Beat the Best Stock |
JMLR
2010
14 years 4 months ago
2010
Bandit algorithms are concerned with trading exploration with exploitation where a number of options are available but we can only learn their quality by experimenting with them. ...
ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
PAKDD
2010
ACM
15 years 2 months ago
2010
ACM
Given a social network, who is the best person to introduce you to, say, Chris Ferguson, the poker champion? Or, given a network of people and skills, who is the best person to he...
MLMI
2007
Springer
15 years 3 months ago
2007
Springer
In this paper we present a meeting state recognizer based on a combination of multi-modal sensor data in a smart room. Our approach is based on the training of a statistical model ...
UAI
2008
14 years 11 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...