326 search results - page 1 / 66 » Reinforcement Learning Based on On-Line EM Algorithm |
NIPS
1998
13 years 8 months ago
1998
AUSAI
2005
Springer
14 years 29 days ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
NIPS
1998
13 years 8 months ago
1998
We describe a new iterative method for parameter estimation of Gaussian mixtures. The new method is based on a framework developed by Kivinen and Warmuth for supervised on-line le...
TIT
2008
13 years 7 months ago
2008
We prove the strongest known bound for the risk of hypotheses selected from the ensemble generated by running a learning algorithm incrementally on the training data. Our result i...
COLT
2003
Springer
14 years 19 days ago
2003
Springer
We study on-line play of repeated matrix games in which the observations of past actions of the other player and the obtained reward are partial and stochastic. We define the Part...