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ML
2002
ACM
143views Machine Learning» more  ML 2002»
13 years 9 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
SC
2004
ACM
14 years 3 months ago
Optimal File-Bundle Caching Algorithms for Data-Grids
The file-bundle caching problem arises frequently in scientific applications where jobs process several files concurrently. Consider a host system in a data-grid that maintains...
Ekow J. Otoo, Doron Rotem, Alexandru Romosan
SIAMCO
2002
87views more  SIAMCO 2002»
13 years 9 months ago
Optimal Consumption and Portfolio with Both Fixed and Proportional Transaction Costs
We consider a market model with one riskfree and one risky asset, in which the dynamics of the risky asset is governed by a geometric Brownian motion. In this market we consider a...
Bernt Oksendal, Agnès Sulem
ISCAS
2005
IEEE
133views Hardware» more  ISCAS 2005»
14 years 3 months ago
Multiobjective VLSI cell placement using distributed simulated evolution algorithm
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
Sadiq M. Sait, Ali Mustafa Zaidi, Mustafa I. Ali
WSC
1997
13 years 11 months ago
Million Dollar Logistic Decisions Using Simulation
This paper presents the development of a flexible simulation model of the rail operations at the Tropicana facility in Bradenton, Florida. The complexity of the process and system...
Michael Carr, Howard Way