582 search results - page 100 / 117 » Gaussian Processes in Reinforcement Learning |
ICCBR
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Acquiring adaptation knowledge for case-based reasoning systems is a challenging problem. Such knowledge is typically elicited from domain experts or extracted from the c...
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
ICRA
2010
IEEE
13 years 8 months ago
2010
IEEE
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
ICIAP
2009
ACM
14 years 10 months ago
2009
ACM
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
CVPR
2004
IEEE
14 years 11 months ago
2004
IEEE
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...