22 search results - page 3 / 5 » Temporal Difference Learning of Position Evaluation in the G... |
AAAI
2008
13 years 7 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. ...
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
In this paper, we address the problem of creating believable agents (virtual characters) in video games. We consider only one meaning of believability, "giving the feeling of...
AAAI
2012
11 years 7 months ago
2012
In recent years, several systems have been proposed that learn the rules of a simple card or board game solely from visual demonstration. These systems were constructed for speciï...
AAAI
2010
13 years 6 months ago
2010
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human interventi...