Skip to content
You are here: Home » Publications » IDSIA Publications » Quasi-Online Reinforcement Learning for Robots
Personal tools
  • State: visible

Quasi-Online Reinforcement Learning for Robots

B. Bakker, V. Zhumatiy, G. Gruener, J. Schmidhuber: Quasi-Online Reinforcement Learning for Robots, IEEE International Conference on Robotics and Automation (ICRA), 2006.

Click here to get the file

Size 263.6 kB - File type application/force-download

Topics associated with the current item:

AREA:Individual behaviour

AREA:Sensori-motor representations




KINDOF:Novel Approach


THEME:Action Control

THEME:Active vision

THEME:Cognitive processes






Authors and Collaborators:

B. Bakker V. Zhumatiy G. Gruener J. Schmidhuber
Created by gloye
Contributors : B. Bakker, V. Zhumatiy, G. Gruener, J. Schmidhuber
Last modified 2007-03-20 01:02 PM

Powered by Plone

Anticipatory Cognitive Science is a research field that ensembles artificial intelligence, biology, psychology, neurology, engineering and philosophy in order to build anticipatory cognitive systems that are able to face human tasks with the same anticipatory capabilities and performance. In deep: Cognitive science is the interdisciplinary study of mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. Its intellectual origins are in the mid-1950s when researchers in several fields began to develop theories of mind based on complex representations and computational procedures. Its organizational origins are in the mid-1970s when the Cognitive Science Society was formed and the journal Cognitive Science began. Since then, more than sixty universities in North America, Europe, Asia, and Australia have established cognitive science programs, and many others have instituted courses in cognitive science.