232 search results - page 24 / 47 » Learning all optimal policies with multiple criteria |
ATMOS
2009
13 years 9 months ago
2009
We present a set of three new time-dependent models with increasing flexibility for realistic route planning in flight networks. By these means, we obtain small graph sizes while m...
EUROCAST
2007
Springer
14 years 2 months 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...
EOR
2007
13 years 8 months ago
2007
One of the key challenges of current day electronic procurement systems is to enable procurement decisions transcend beyond a single attribute such as cost. Consequently, multiatt...
TMM
2011
13 years 3 months ago
2011
—In this paper, we propose an approach to manage network resources for a direct sequence code division multiple access (DS-CDMA) visual sensor network where nodes monitor scenes ...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...