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» Policy Learning for Motor Skills
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NIPS
1994
13 years 10 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz
IJCAI
1989
13 years 10 months ago
Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
David Handelman, Stephen Lane, Jack Gelfand
ETS
2002
IEEE
146views Hardware» more  ETS 2002»
13 years 8 months ago
Teaching Motor Disability Assessment over the Web: MODASPECTRA
MODASPECTRA (MOtor Disability Assessment SPEcialists' TRAining) was a research and technology development project aimed at developing quality teaching and training of post-gr...
Salvatore Valenti, Sandro Fioretti, Maurizio Mauri...
AAAI
1994
13 years 10 months ago
High Dimension Action Spaces in Robot Skill Learning
Table lookup with interpolation is used for many learning and adaptation tasks. Redundant mappings capture the important concept of \motor skill," which is important in real,...
Jeff G. Schneider
EWRL
2008
13 years 10 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