22 search results - page 4 / 5 » Complexity Analysis of Real-Time Reinforcement Learning |
EMO
2005
Springer
13 years 11 months ago
2005
Springer
Water systems often allow efficient water uses via water reuse and/or recirculation. Defining the network layout connecting water-using processes is a complex problem which involv...
ISDA
2010
IEEE
13 years 2 months ago
2010
IEEE
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
GECCO
2009
Springer
13 years 12 months ago
2009
Springer
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
BMCBI
2010
13 years 2 months ago
2010
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...