378 search results - page 63 / 76 » Reinforcement Learning for Online Control of Evolutionary Al... |
ICML
1994
IEEE
13 years 11 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
SASO
2008
IEEE
14 years 1 months ago
2008
IEEE
In the DEZENT1 project we had established a distributed base model for negotiating electric power from widely distributed (renewable) power sources on multiple levels in successio...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
AROBOTS
2002
13 years 7 months ago
2002
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
GECCO
2003
Springer
14 years 23 days ago
2003
Springer
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...