269 search results - page 2 / 54 » Using Previous Experience for Learning Planning Control Know... |
72
Voted
IJCAI
1993
14 years 11 months ago
1993
One method for reducing the time required for plan generation is to learn search control rules from experience. Most of the recent work in learning search control knowledge has co...
AI
2000
Springer
14 years 10 months ago
2000
Springer
Over the years increasingly sophisticated planning algorithms have been developed. These have made for more efficient planners, but unfortunately these planners still suffer from ...
77
Voted
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
107
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AAAI
2008
15 years 16 days ago
2008
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
84
Voted
JMLR
2008
14 years 10 months ago
2008
A number of today's state-of-the-art planners are based on forward state-space search. The impressive performance can be attributed to progress in computing domain independen...