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ICML
2000
IEEE
14 years 5 days ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens
PPCP
1993
13 years 12 months ago
Higher-Order Logic Programming as Constraint Logic Programming
Higher-order logic programming (HOLP) languages are particularly useful for various kinds of metaprogramming and theorem proving tasks because of the logical support for variable ...
Spiro Michaylov, Frank Pfenning
GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
13 years 11 months ago
Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
Rudolph Triebel, Óscar Martínez Mozo...
AMAST
2008
Springer
13 years 9 months ago
A Declarative Debugger for Maude
Abstract. Declarative debugging has been applied to many declarative programming paradigms; in this paper, a declarative debugger for rewriting logic specifications, embodied in th...
Adrián Riesco, Alberto Verdejo, Narciso Mar...
ASM
2008
ASM
13 years 9 months ago
The High Road to Formal Validation:
Abstract. In this paper we examine the difference between model checking high-level and low-level models. In particular, we compare the ProB model checker for the B-method and the ...
Michael Leuschel