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» Machine Learning for motor skills in robotics
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IROS
2006
IEEE
113views Robotics» more  IROS 2006»
14 years 1 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
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
13 years 11 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
DAGSTUHL
2003
13 years 9 months ago
Robot Bouncing: On the Synergy Between Neural and Body-Environment Dynamics
The study of how infants strapped in a Jolly Jumper learn to bounce can help clarify how they explore different ways of exploiting the dynamics of their movements. In this paper, ...
Max Lungarella, Luc Berthouze
EDUTAINMENT
2009
Springer
14 years 2 months ago
Music-Making and Musical Comprehension with Robotic Building Blocks
Being able to express oneself musically and experiment with music composition is traditionally determined by one’s ability to play an actual instrument with a certain degree of c...
Niels Kristian Bærendsen, Carsten Jessen, Ja...
RA
2003
135views Robotics» more  RA 2003»
13 years 9 months ago
Behavioural Cloning and Robot Control
Behavioural cloning is a method by which a machine learns control skills through observing what a human controller would do in a certain set of circumstances. More specifically, t...
Claire D'Este, Mark O'Sullivan, Nicholas Hannah