94 search results - page 18 / 19 » Sequential cost-sensitive decision making with reinforcement... |
CIMCA
2008
IEEE
13 years 11 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
ATAL
2011
Springer
12 years 5 months ago
2011
Springer
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
UAI
2008
13 years 6 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
JSAC
2007
13 years 5 months ago
2007
— One of the distinctive features in a wireless ad hoc network is lack of any central controller or single point of authority, in which each node/link then makes its own decision...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...