965 search results - page 141 / 193 » Scaling into Ambient Intelligence |
126
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AIIDE
2006
15 years 3 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
140
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AIPS
2006
15 years 3 months ago
2006
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
AAAI
1998
15 years 3 months ago
1998
One difficulty with existing theoretical work on HTN planning is that it does not address some of the planning constructs that are commonly used in HTN planners for practical appl...
AIPS
1998
15 years 3 months ago
1998
Casting planning problems as propositional satis ability problems has recently been shown to be an effective way of scaling up plan synthesis. Until now, the bene ts of this appro...
115
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ATAL
2010
Springer
15 years 3 months ago
2010
Springer
In the course allocation problem, a university administrator seeks to efficiently and fairly allocate schedules of over-demanded courses to students with heterogeneous preferences...