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NN
2010
Springer
125views Neural Networks» more  NN 2010»
13 years 5 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
IJCNN
2000
IEEE
13 years 11 months ago
PD Control of Robot with RBF Networks Compensation
In this paper the popular PD controller of robot manipulator is modified. RBF neural networks are used to compensate the gravity and fi-iction. No exact knowledge of the robot dyn...
Wen Yu, José Antonio Heredia
SAB
2010
Springer
150views Optimization» more  SAB 2010»
13 years 5 months ago
Internal Models in the Cerebellum: A Coupling Scheme for Online and Offline Learning in Procedural Tasks
The cerebellum plays a major role in motor control. It is thought to mediate the acquisition of forward and inverse internal models of the bodyenvironment interaction [1]. In this ...
Jean-Baptiste Passot, Niceto Luque, Angelo Arleo
ICSNC
2007
IEEE
14 years 1 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
JDCTA
2010
163views more  JDCTA 2010»
13 years 2 months ago
An Approach to Traffic Volume Forecasting Based on Ant Colony Neural Network
Combining the ant colony algorithm (ACA) and the neural network (NN), the present paper puts forward an approach to traffic volume forecasting based on the ant colony neural netwo...
Hong Chen