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AAAI
2004
13 years 5 months ago
Effective Approaches for Partial Satisfaction (Over-Subscription) Planning
In many real world planning scenarios, agents often do not have enough resources to achieve all of their goals. Consequently, they are forced to find plans that satisfy only a sub...
Menkes van den Briel, Romeo Sanchez Nigenda, Minh ...
AIPS
2008
13 years 6 months ago
An Online Learning Method for Improving Over-Subscription Planning
Despite the recent resurgence of interest in learning methods for planning, most such efforts are still focused exclusively on classical planning problems. In this work, we invest...
Sung Wook Yoon, J. Benton, Subbarao Kambhampati
ECAI
2010
Springer
13 years 5 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
CP
1995
Springer
13 years 7 months ago
Partial Constraint Satisfaction
We present a method for finding optimal partial solutions to overconstrained instances of the Disjunctive Temporal Problems (DTP). The solutions are optimal in that they satisfy ...
Eugene C. Freuder, Richard J. Wallace
CP
2007
Springer
13 years 10 months ago
Exploiting Past and Future: Pruning by Inconsistent Partial State Dominance
It has recently been shown, for the Constraint Satisfaction Problem (CSP), that the state associated with a node of the search tree built by a backtracking algorithm can be exploit...
Christophe Lecoutre, Lakhdar Sais, Sébastie...