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» Structure in the Space of Value Functions
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IWANN
1999
Springer
14 years 22 days ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
COMPGEOM
2006
ACM
14 years 2 months ago
A sampling theory for compact sets in Euclidean space
Abstract We introduce a parameterized notion of feature size that interpolates between the minimum of the local feature size and the recently introduced weak feature size. Based on...
Frédéric Chazal, David Cohen-Steiner...
NIPS
2004
13 years 9 months ago
Mass Meta-analysis in Talairach Space
We provide a method for mass meta-analysis in a neuroinformatics database containing stereotaxic Talairach coordinates from neuroimaging experiments. Database labels are used to g...
Finn Årup Nielsen
POPL
2006
ACM
14 years 8 months ago
Adventures in time and space
Abstract. This paper investigates what is essentially a call-by-value version of PCF under a complexity-theoretically motivated type system. The programming formalism, ATR, has its...
Norman Danner, James S. Royer
VISUALIZATION
2003
IEEE
14 years 1 months ago
Feature Space Analysis of Unstructured Meshes
Unstructured meshes are often used in simulations and imaging applications. They provide advanced flexibility in modeling abilities but are more difficult to manipulate and anal...
Ariel Shamir