2299 search results - page 104 / 460 » Inference and Learning in Planning |
129
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ISRR
2005
Springer
15 years 11 months ago
2005
Springer
Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for sampling a robot’s configuration space affect the performance of a PRM plan...
197
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UAI
2008
15 years 7 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
167
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SIGSOFT
2009
ACM
16 years 6 months ago
2009
ACM
Many testing and analysis techniques use finite state models to validate and verify the quality of software systems. Since the specification of such models is complex and timecons...
161
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AI
1999
Springer
15 years 5 months ago
1999
Springer
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
177
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BMCBI
2007
15 years 6 months ago
2007
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...