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ICML
1996
IEEE
14 years 5 months ago
Representing and Learning Quality-Improving Search Control Knowledge
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
M. Alicia Pérez
CORR
2002
Springer
106views Education» more  CORR 2002»
13 years 4 months ago
Domain-Dependent Knowledge in Answer Set Planning
In this paper we consider three di erent kinds of domain dependent control knowledge (temporal, procedural and HTN-based) that are useful in planning. Our approach is declarative ...
Tran Cao Son, Chitta Baral, Tran Hoai Nam, Sheila ...
AI
1999
Springer
13 years 4 months ago
Learning Action Strategies for Planning Domains
There are many different approaches to solving planning problems, one of which is the use of domain specific control knowledge to help guide a domain independent search algorithm. ...
Roni Khardon
AIPS
2010
13 years 5 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
TIME
2009
IEEE
13 years 11 months ago
Fixing the Semantics for Dynamic Controllability and Providing a More Practical Characterization of Dynamic Execution Strategies
Morris, Muscettola and Vidal (MMV) presented an algorithm for checking the dynamic controllability (DC) of temporal networks in which certain temporal durations are beyond the con...
Luke Hunsberger