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ICANN
2009
Springer
15 years 10 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
CIAC
2006
Springer
278views Algorithms» more  CIAC 2006»
15 years 10 months ago
Covering a Set of Points with a Minimum Number of Lines
We consider the minimum line covering problem: given a set S of n points in the plane, we want to find the smallest number l of straight lines needed to cover all n points in S. W...
Magdalene Grantson, Christos Levcopoulos
CRYPTO
2006
Springer
104views Cryptology» more  CRYPTO 2006»
15 years 10 months ago
Random Selection with an Adversarial Majority
Abstract. We consider the problem of random selection, where p players follow a protocol to jointly select a random element of a universe of size n. However, some of the players ma...
Ronen Gradwohl, Salil P. Vadhan, David Zuckerman
TACS
1997
Springer
15 years 10 months ago
Type System for Specializing Polymorphism
Abstract. Flexibility of programming and efficiency of program execution are two important features of a programming language. Unfortunately, however, there is an inherent conflict...
Atsushi Ohori
ICIP
2007
IEEE
15 years 8 months ago
Motion Estimation using Tangent Distance
In this paper, we present a method based on tangent distance to estimate motion in image sequences. Tangent distance combines an intuitive understanding and effective modeling of ...
Jonathan Fabrizio, Séverine Dubuisson