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SIAMCO
2010
169views more  SIAMCO 2010»
13 years 2 months ago
Shape Derivative of Drag Functional
Abstract. In the paper compressible, stationary Navier-Stokes (N-S) equations are considered. The model is well-posed, there exist weak solutions in bounded domains, subject to inh...
Pavel I. Plotnikov, Jan Sokolowski
AIPS
2007
13 years 10 months ago
Learning to Plan Using Harmonic Analysis of Diffusion Models
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
AI
2010
Springer
13 years 8 months ago
Kernel functions for case-based planning
Case-based planning can take advantage of former problem-solving experiences by storing in a plan library previously generated plans that can be reused to solve similar planning p...
Ivan Serina
CORR
2006
Springer
113views Education» more  CORR 2006»
13 years 8 months ago
A Unified View of TD Algorithms; Introducing Full-Gradient TD and Equi-Gradient Descent TD
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
Manuel Loth, Philippe Preux
ICSEA
2007
IEEE
14 years 2 months ago
A Novel Framework for Test Domain Reduction using Extended Finite State Machine
Test case generation is an expensive, tedious, and errorprone process in software testing. In this paper, test case generation is accomplished using an Extended Finite State Machi...
Nutchakorn Ngamsaowaros, Peraphon Sophatsathit