ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
On the way to the big goal - the game against the human world champion on a real soccer field - the configuration of the soccer fields in RoboCup has changed during the last yea...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
