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AAAI
1998
15 years 7 months ago
Applying Online Search Techniques to Continuous-State Reinforcement Learning
In this paper, we describe methods for e ciently computing better solutions to control problems in continuous state spaces. We provide algorithms that exploit online search to boo...
Scott Davies, Andrew Y. Ng, Andrew W. Moore
VMV
2003
165views Visualization» more  VMV 2003»
15 years 7 months ago
C1-Continuous Terrain Reconstruction from Sparse Contours
Contour lines from topographic maps are still the most common form of elevation data for the Earth’s surface and in the case of historical landscapes, they often are the only av...
Kai Hormann, Salvatore Spinello, Peter Schröd...
WSCG
2003
177views more  WSCG 2003»
15 years 7 months ago
Efficient NURBS Rendering using View-Dependent LOD and Normal Maps
Rendering large trimmed NURBS models with high quality at interactive frame rates is of great interest for industry, since nearly all their models are designed on the basis of thi...
Michael Guthe, Reinhard Klein
UAI
1998
15 years 7 months ago
Hierarchical Solution of Markov Decision Processes using Macro-actions
tigate the use of temporally abstract actions, or macro-actions, in the solution of Markov decision processes. Unlike current models that combine both primitive actions and macro-...
Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kae...
WAE
1998
118views Algorithms» more  WAE 1998»
15 years 7 months ago
Guarding Scenes against Invasive Hypercubes
In recent years realistic input models for geometric algorithms have been studied. The most important models introduced are fatness, low density, unclutteredness, and small simple...
Mark de Berg, Haggai David, Matthew J. Katz, Mark ...
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