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» A Framework for the Simulation Experimentation Process
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180
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EWLR
1999
Springer
15 years 9 months ago
Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically-Rearranging Neural Network Approach
In the field of evolutionary robotics artificial neural networks are often used to construct controllers for autonomous agents, because they have useful properties such as the ab...
Peter Eggenberger, Akio Ishiguro, Seiji Tokura, To...
166
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WSC
2008
15 years 7 months ago
Skart: A skewness- and autoregression-adjusted batch-means procedure for simulation analysis
We discuss Skart, an automated batch-means procedure for constructing a skewness- and autoregression-adjusted confidence interval for the steady-state mean of a simulation output ...
Ali Tafazzoli, James R. Wilson, Emily K. Lada, Nat...
ROBIO
2006
IEEE
103views Robotics» more  ROBIO 2006»
15 years 11 months ago
Processing of an Embedded Tactile Matrix Sensor
— A fully embedded tactile/force sensor system to be installed on the phalanges of a robot hand is presented in this paper. The sensor consists of a distributed array of analog t...
Giorgio Cannata, Marco Maggiali
NIPS
2007
15 years 6 months ago
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
Neural spike trains present challenges to analytical efforts due to their noisy, spiking nature. Many studies of neuroscientific and neural prosthetic importance rely on a smooth...
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy...
CIIA
2009
15 years 6 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali