4817 search results - page 552 / 964 » Learning Models of Intelligent Agents |
165
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ICML
2004
IEEE
16 years 6 months ago
2004
IEEE
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
164
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ICANN
2009
Springer
16 years 5 days ago
2009
Springer
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
145
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EMNLP
2009
15 years 3 months ago
2009
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
142
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ATAL
2007
Springer
15 years 11 months ago
2007
Springer
Agents enacting business processes in large open environments need to adaptively accommodate exceptions. Work on multiagent approaches can flexibly model business processes. This...
130
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GECCO
2005
Springer
15 years 11 months ago
2005
Springer
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...