306 search results - page 60 / 62 » Dynamic Software Updates: The State Mapping Problem |
JAIR
2006
13 years 6 months ago
2006
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
EUROCAST
2007
Springer
14 years 26 days ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
IROS
2006
IEEE
14 years 21 days ago
2006
IEEE
— We propose to classify the behaviors of a mobile robot thanks to topological methods as an alternative to metric ones. To do so, we adapt an analysis scheme from Physics of non...
CC
1998
Springer
13 years 6 months ago
1998
Springer
Graph coloring is the dominant paradigm for global register allocation [8, 7, 4]. Coloring allocators use an interference graph, Z, to model conflicts that prevent two values from ...
BMCBI
2011
12 years 10 months ago
2011
Background: Over the past few years, new massively parallel DNA sequencing technologies have emerged. These platforms generate massive amounts of data per run, greatly reducing th...