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author = {Guenter, F. and Billard, A.},
title = {Using Reinforcement Learning to Adapt an Imitation Task.},
howpublished = {In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2007},
abstract = {The goal of developing algorithms for programming robots by
demonstration is to create an easy way of programming robots that can
be accomplished by everyone. When a demonstrator teaches a task to a
robot, he/she shows some ways of fulfilling the task, but not all the
possibilities. The robot must then be able to reproduce the task even
when unexpected perturbations occur. In this case, it has to learn a
new solution. In this paper, we describe a system that allows a robot
to re-learn constrained reaching tasks by combining the knowledge
acquired during the demonstration, with that acquired though
reinforcement learning.},

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