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ICML
2006
IEEE
16 years 12 days ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup
SAC
2006
ACM
16 years 12 days ago
A branch and prune algorithm for the approximation of non-linear AE-solution sets
Non-linear AE-solution sets are a special case of parametric systems of equations where universally quantified parameters appear first. They allow to model many practical situat...
Alexandre Goldsztejn
ANSS
2005
IEEE
16 years 2 days ago
Approximation of Discrete Phase-Type Distributions
The analysis of discrete stochastic models such as generally distributed stochastic Petri nets can be done using state space-based methods. The behavior of the model is described ...
Claudia Isensee, Graham Horton
DATE
2005
IEEE
139views Hardware» more  DATE 2005»
16 years 2 days ago
EM Wave Coupling Noise Modeling Based on Chebyshev Approximation and Exact Moment Formulation
This paper presents a new mathematical approach to modeling EM wave coupling noise so that it can be easily integrated into chip-level noise analysis tools. The new method employs...
Baohua Wang, Pinaki Mazumder
CONTEXT
2001
Springer
15 years 11 months ago
On the Dimensions of Context Dependence: Partiality, Approximation, and Perspective
Abstract. In this paper we propose to re-read the past work on formalizing context as the search for a logic of the relationships between partial, approximate, and perspectival the...
Massimo Benerecetti, Paolo Bouquet, Chiara Ghidini