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173
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
184
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ATAL
2008
Springer
15 years 8 months ago
2008
Springer
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
203
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
162
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CE
2007
15 years 6 months ago
2007
The rapid development of computer and Internet technologies has made e-Learning become an important learning method. There has been a considerable increase in the needs for multim...
188
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ECML
2003
Springer
15 years 11 months ago
2003
Springer
Context-free grammars cannot be identified in the limit from positive examples (Gold, 1967), yet natural language grammars are more powerful than context-free grammars and humans ...