1270 search results - page 72 / 254 » Dogged Learning for Robots |
NN
2010
Springer
13 years 3 months ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
ICRA
2009
IEEE
14 years 3 months ago
2009
IEEE
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
BLISS
2009
IEEE
13 years 10 months ago
2009
IEEE
Robot Security is becoming more and more a serious issue for many modern applications. Robot Security matters are still not intensively addressed in the published literature. The ...
AAAI
2006
13 years 10 months ago
2006
The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teach...