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AI
1999
Springer
10 years 2 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
CORR
2002
Springer
106views Education» more  CORR 2002»
10 years 2 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
2000
Springer
10 years 2 months ago
Using temporal logics to express search control knowledge for planning
Over the years increasingly sophisticated planning algorithms have been developed. These have made for more efficient planners, but unfortunately these planners still suffer from ...
Fahiem Bacchus, Froduald Kabanza
JMLR
2008
124views more  JMLR 2008»
10 years 2 months ago
Learning Control Knowledge for Forward Search Planning
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...
Sung Wook Yoon, Alan Fern, Robert Givan
IJCAI
1989
10 years 3 months ago
Preprocessing Search Spaces for Branch and Bound Search
Heuristic search procedures are useful in a large number of problems of practical importance. Such procedures operate by searching several paths in a search space at the same time...
Qiang Yang, Dana S. Nau
AIPS
1994
10 years 4 months ago
Control Knowledge to Improve Plan Quality
Generating production-quality plans is an essential element in transforming planners from research tools into real-world applications. However most of the work to date on learning...
M. Alicia Pérez, Jaime G. Carbonell
AIPS
1994
10 years 4 months ago
A Planner with Quality Goal and Its Speed-up Learning for Optimization Problem
Aimsof traditional planners had beenlimited to finding a sequenceof operators rather than finding an optimal or neax-optimalfinal state. Consequent]y, the performanceimprovementsy...
Masahiko Iwamoto
AAAI
1998
10 years 4 months ago
Learning Investment Functions for Controlling the Utility of Control Knowledge
The utility problem occurs when the cost of the acquired knowledge outweighs its bene ts. When the learner acquires control knowledge for speeding up a problem solver, the bene t ...
Oleg Ledeniov, Shaul Markovitch
FLAIRS
2004
10 years 4 months ago
Using Previous Experience for Learning Planning Control Knowledge
Machine learning (ML) is often used to obtain control knowledge to improve planning efficiency. Usually, ML techniques are used in isolation from experience that could be obtained...
Susana Fernández, Ricardo Aler, Daniel Borr...
IJCAI
2007
10 years 4 months ago
Effective Control Knowledge Transfer through Learning Skill and Representation Hierarchies
Learning capabilities of computer systems still lag far behind biological systems. One of the reasons can be seen in the inefficient re-use of control knowledge acquired over the...
Mehran Asadi, Manfred Huber
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