1235 search results - page 154 / 247 » Reinforcement learning in a nutshell |
RAS
2010
13 years 8 months ago
2010
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
AIED
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. While high interactivity has been one of the main characteristics of oneon-one human tutoring, a great deal of controversy surrounds the issue of whether interactivity is...
PERCOM
2009
ACM
14 years 10 months ago
2009
ACM
In this paper we describe a context-sensitive way to change an active mobile phone profile. We present a method to create a proactive and adaptive phone profile control system that...
LCN
2006
IEEE
14 years 4 months ago
2006
IEEE
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...
GECCO
2004
Springer
14 years 3 months ago
2004
Springer
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...