93 search results - page 4 / 19 » Agent Learning using Action-Dependent Learning Rates in Comp... |
AAAI
2008
13 years 9 months ago
2008
The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. ...
DAGM
2003
Springer
14 years 23 days ago
2003
Springer
Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelli...
ICGA
2007
13 years 7 months ago
2007
Abstract. Move patterns are an essential method to incorporate domain knowledge into Go-playing programs. This paper presents a new Bayesian technique for supervised learning of su...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In the course of the recent complexification and sophistication of commercial computer games, the creation of competitive artificial players that are able to behave intelligentl...
SAC
2005
ACM
14 years 1 months ago
2005
ACM
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...