1270 search results - page 59 / 254 » Dogged Learning for Robots |
IROS
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— In their interactions with the world robots inevitably face equivalent action choices, situations in which multiple actions are equivalently applicable. In this paper, ...
MICAI
2009
Springer
14 years 3 months ago
2009
Springer
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
EWLR
1997
Springer
14 years 27 days ago
1997
Springer
Building robots can be a tough job because the designer has to predict the interactions between the robot and the environment as well as to deal with them. One solution to cope the...
FOCS
1994
IEEE
14 years 26 days ago
1994
IEEE
We show that two cooperating robots can learn exactly any strongly-connected directed graph with n indistinguishable nodes in expected time polynomial in n. We introduce a new typ...
CCIA
2010
Springer
13 years 3 months ago
2010
Springer
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...