29 search results - page 6 / 6 » Action Refinement in Reinforcement Learning by Probability S... |
AAAI
2000
13 years 7 months ago
2000
As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even t...
ACMICEC
2007
ACM
13 years 10 months ago
2007
ACM
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
QRE
2010
2010
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
13 years 4 months ago
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...