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EWRL
2008
13 years 6 months ago
Policy Learning - A Unified Perspective with Applications in Robotics
Policy Learning approaches are among the best suited methods for high-dimensional, continuous control systems such as anthropomorphic robot arms and humanoid robots. In this paper,...
Jan Peters, Jens Kober, Duy Nguyen-Tuong
ISER
2000
Springer
151views Robotics» more  ISER 2000»
13 years 8 months ago
Super Mechano-System: New Perspective for Versatile Robotic System
: This paper discusses the general concept of the Super Mechano-System, or SMS and its anticipated applications. The SMS is a new type of robot system, which can transform its shap...
Shigeo Hirose
AR
2002
157views more  AR 2002»
13 years 4 months ago
Acquiring state from control dynamics to learn grasping policies for robot hands
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 ...
Roderic A. Grupen, Jefferson A. Coelho Jr.
IROS
2006
IEEE
113views Robotics» more  IROS 2006»
13 years 11 months ago
Policy Gradient Methods for Robotics
— 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...
Jan Peters, Stefan Schaal
NIPS
2008
13 years 6 months ago
Policy Search for Motor Primitives in Robotics
Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
Jens Kober, Jan Peters