96 search results - page 6 / 20 » Adding Reinforcement Learning Features to the Neural-Gas Met... |
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
PERCOM
2005
ACM
14 years 7 months ago
2005
ACM
Numerous schemes have been proposed for secure routing protocols, and Intrusion Detection and Response Systems, for ad hoc networks. In this paper, we present a proof-of-concept i...