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ATAL
2010
Springer
15 years 7 months ago
Risk-sensitive planning in partially observable environments
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Janusz Marecki, Pradeep Varakantham
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 7 months ago
The study for transportation planning considered the inventory using hybrid genetic algorithm
The transportation planning (TP) is well-known basic network problem. However, for some real-world applications, it is often that the TP model is extended to satisfy other additio...
Shinichiro Ataka, Mitsuo Gen
ECAI
2010
Springer
15 years 6 months ago
Brothers in Arms? On AI Planning and Cellular Automata
AI Planning is concerned with the selection of actions towards achieving a goal. Research on cellular automata (CA) is concerned with the question how global behaviours arise from ...
Jörg Hoffmann, Nazim Fatès, Héc...
IJRR
2008
101views more  IJRR 2008»
15 years 6 months ago
Motion Planning Under Uncertainty for Image-guided Medical Needle Steering
We develop a new motion planning algorithm for a variant of a Dubins car with binary left/right steering and apply it to steerable needles, a new class of flexible beveltip medica...
Ron Alterovitz, Michael S. Branicky, Kenneth Y. Go...
IJRR
2008
75views more  IJRR 2008»
15 years 6 months ago
Planning Time-Minimal Safe Paths Amidst Unpredictably Moving Obstacles
In this paper we discuss the problem of planning safe paths amidst unpredictably moving obstacles in the plane. Given the initial positions and the maximum speeds of the moving ob...
Jur P. van den Berg, Mark H. Overmars