186 search results - page 1 / 38 » Utilizing Domain Knowledge in Neuroevolution |
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
AIIDE
2006
13 years 6 months ago
2006
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
AAAI
2006
13 years 6 months ago
2006
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
ANNS
2010
13 years 14 days ago
2010
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
ER
2007
Springer
13 years 11 months ago
2007
Springer
Software systems embed in them knowledge about the domain in which they operate. However, this knowledge is “latent”. Making such knowledge accessible could be of great value ...