87 search results - page 7 / 18 » Direct Policy Search Reinforcement Learning for Robot Contro... |
ICARCV
2006
IEEE
14 years 2 months ago
2006
IEEE
— Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, etc. Learning approaches to multi-ag...
ICML
1996
IEEE
14 years 26 days ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We consider the task of driving a remote control car at high speeds through unstructured outdoor environments. We present an approach in which supervised learning is first used to...
IROS
2006
IEEE
14 years 2 months ago
2006
IEEE
— The aquisition and improvement of motor skills and control policies for robotics from trial and error is of essential importance if robots should ever leave precisely pre-struc...
AR
2002
13 years 8 months ago
2002
Abstract--A prominent emerging theory of sensorimotor development in biological systems proposes that control knowledge is encoded in the dynamics of physical interaction with the ...