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» On Unbiased Linear Approximations
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106
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ML
2002
ACM
154views Machine Learning» more  ML 2002»
15 years 14 days ago
Technical Update: Least-Squares Temporal Difference Learning
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
Justin A. Boyan
115
Voted
MOC
2002
101views more  MOC 2002»
15 years 14 days ago
On the stability of a family of finite element methods for hyperbolic problems
We consider a family of tensor product finite element methods for hyperbolic equations in RN , N 2, which are explicit and generate a continuous approximate solution. The base cas...
Gerard R. Richter
92
Voted
APPML
2005
99views more  APPML 2005»
15 years 22 days ago
A numerical study of iterative refinement schemes for weakly singular integral equations
Three iterative refinement schemes are studied for approximating the solutions of linear weakly singular Fredholm integral equations of the second kind. The rates of convergence a...
Filomena D. d'Almeida, Olivier Titaud, Paulo B. Va...
INFORMATICALT
2002
191views more  INFORMATICALT 2002»
15 years 15 days ago
Optimal Control of a Well-Stirred Bioreactor in the Presence of Stochastic Perturbations
We study the stochastic model for bioremediation in a bioreactor with ideal mixing. The dynamics of the examined system is described by stochastic differential equations. We consid...
Vadim Azhmyakov
SIAMSC
2011
110views more  SIAMSC 2011»
14 years 7 months ago
A Finite Element Method for Second Order Nonvariational Elliptic Problems
We propose a numerical method to approximate the solution of second order elliptic problems in nonvariational form. The method is of Galerkin type using conforming finite elements...
Omar Lakkis, Tristan Pryer