4446 search results - page 299 / 890 » Learning Observer Agents |
204
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AAAI
2011
14 years 6 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
181
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
240
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SIGIR
2012
ACM
13 years 9 months ago
2012
ACM
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
173
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ATAL
2010
Springer
15 years 6 months ago
2010
Springer
This paper concerns the problem of agent trust in an electronic market place. We maintain that agent trust involves making decisions under uncertainty and therefore the phenomenon...
161
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ATAL
2003
Springer
15 years 12 months ago
2003
Springer
Hierarchies are powerful tools for decomposing complex control tasks into manageable subtasks. Several hierarchical approaches have been proposed for creating agents that can exec...