38 search results - page 4 / 8 » Risk Sensitive Reinforcement Learning |
NN
2006
Springer
13 years 5 months ago
2006
Springer
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
This paper tackles shape grammar parsing for facade segmentation using a novel optimization approach based on reinforcement learning (RL). To this end, we use a binary recursive g...
ISBI
2008
IEEE
14 years 6 months ago
2008
IEEE
Early diagnosis and treatment of patients at high risk of developing fragility fractures is crucial in the management of osteoporosis. In this paper we propose to estimate the ris...
AIIDE
2009
13 years 6 months ago
2009
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
KDD
2002
ACM
14 years 6 months ago
2002
ACM
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...