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ML
2002
ACM
143views Machine Learning» more  ML 2002»
13 years 7 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
WSC
2004
13 years 9 months ago
Simulation Output Analysis: A Tutorial Based on One Research Thread
In reviewing topics in simulation output analysis, we advocate univariate analysis, micro/macro replications based on fixed sample sizes, overlapping batches, batch sizes based on...
Bruce W. Schmeiser
WSC
2004
13 years 9 months ago
Dependence Modeling for Stochastic Simulation
An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
Bahar Biller, Soumyadip Ghosh
ESM
1998
13 years 9 months ago
A Simulation Testbed for Biologically Inspired Robots and Their Controllers
This paper introduces a dynamics simulator designed to aid the development of control algorithms for biologically inspired robots. We describe the simulator and a two-tier framewo...
Jesse A. Reichler, Fred Delcomyn
BMCBI
2007
152views more  BMCBI 2007»
13 years 7 months ago
Recodon: Coalescent simulation of coding DNA sequences with recombination, migration and demography
Background: Coalescent simulations have proven very useful in many population genetics studies. In order to arrive to meaningful conclusions, it is important that these simulation...
Miguel Arenas, David Posada