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» Incremental Markov-Model Planning
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AI
2008
Springer
13 years 7 months ago
An approach to efficient planning with numerical fluents and multi-criteria plan quality
Dealing with numerical information is practically important in many real-world planning domains where the executability of an action can depend on certain numerical conditions, an...
Alfonso Gerevini, Alessandro Saetti, Ivan Serina
IJCAI
2007
13 years 8 months ago
A Heuristic Search Approach to Planning with Temporally Extended Preferences
In this paper we propose a suite of techniques for planning with temporally extended preferences (TEPs). To this end, we propose a method for compiling TEP planning problems into ...
Jorge A. Baier, Fahiem Bacchus, Sheila A. McIlrait...
AIPS
2011
12 years 11 months ago
Directed Search for Generalized Plans Using Classical Planners
We consider the problem of finding generalized plans for situations where the number of objects may be unknown and unbounded during planning. The input is a domain specification...
Siddharth Srivastava, Neil Immerman, Shlomo Zilber...
CP
2003
Springer
14 years 18 days ago
Incremental Computation of Resource-Envelopes in Producer-Consumer Models
Abstract. Interleaved planning and scheduling employs the idea of extending partial plans by regularly heeding to the scheduling constraints during search. One of the techniques us...
T. K. Satish Kumar
IJCAI
1997
13 years 8 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling