4817 search results - page 726 / 964 » Learning Models of Intelligent Agents |
147
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AI
2002
Springer
15 years 4 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
146
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CEC
2010
IEEE
15 years 3 months ago
2010
IEEE
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
127
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
166
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
163
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ESAW
2009
Springer
15 years 11 months ago
2009
Springer
Sign languages can be learned effectively only with frequent feedback from an expert in the field. The expert needs to watch a performed sign, and decide whether the sign has bee...