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Book
"Reinforcement learning is learning what to do how to map situations to actions so as to maximize a numerical reward signal. The learner is not told which actions to take, as ...
142
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MHCI
2004
Springer
15 years 8 months ago
2004
Springer
: The complex usage of mobile devices coupled with their limited resources in terms of display and processing suggests that being able to understand the context of the user would b...
115
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ECAI
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. A well-known difficulty with solving Constraint Satisfaction Problems (CSPs) is that, while one formulation of a CSP may enable a solver to solve it quickly, a different ...
116
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ML
2007
ACM
15 years 2 months ago
2007
ACM
We develop new algorithms for learning monadic node selection queries in unranked trees from annotated examples, and apply them to visually interactive Web information extraction. ...
135
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ATAL
2005
Springer
15 years 8 months ago
2005
Springer
This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The MISUS system combines techniques...