99 search results - page 7 / 20 » Action Selection in Bayesian Reinforcement Learning |
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
In this paper, we deal with the sequential decision making problem of agents operating in computational economies, where there is uncertainty regarding the trustworthiness of serv...
KES
2004
Springer
15 years 2 months ago
2004
Springer
This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
TFS
2011
14 years 4 months ago
2011
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
DAGM
2006
Springer
15 years 1 months ago
2006
Springer
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...