847 search results - page 19 / 170 » Learning Action Selection Network of Intelligent Agent |
82
Voted
AIIDE
2007
15 years 2 months ago
2007
This paper presents a novel learning framework to provide computer game agents the ability to adapt to the player as well as other game agents. Our technique generally involves a ...
AAAI
1994
15 years 1 months ago
1994
This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
AAAI
2006
15 years 1 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
94
Voted
AAAI
2008
15 years 2 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
93
Voted
ATAL
2005
Springer
15 years 5 months ago
2005
Springer
2. THE MASM ALGORITHM An input to the MASM algorithm is a time-annotated multi-agent action sequence. The action sequence is then transformed into an action graph. An action graph ...