Exploiting Qualitative Knoledge to Enhance Skill Acquisition
Abstract
One of the most interesting problems faced by Artificial Intelligence researchers is to reproduce a capability typical of living beings: that of learning to perform motor tasks, a problem known as skill acquisition . A very difficult purpose because the overwhole behavior of an agent is the result of quite a complex activity, involving sensory, planning and motor processing. In this paper, I present a novel approach for acquiring new skills, named Soft Teaching , that is characterized by a learning by experience process, in which an agent exploits a symbolic, qualitative description of the task to perform, that cannot, however, be used directly for control purposes. A specific Soft Teaching technique, named Symmetries , was implemented and tested against a continuous-domained version of well-known pole-balancing.
Cite
Text
Baroglio. "Exploiting Qualitative Knoledge to Enhance Skill Acquisition." European Conference on Machine Learning, 1997. doi:10.1007/3-540-62858-4_71Markdown
[Baroglio. "Exploiting Qualitative Knoledge to Enhance Skill Acquisition." European Conference on Machine Learning, 1997.](https://mlanthology.org/ecmlpkdd/1997/baroglio1997ecml-exploiting/) doi:10.1007/3-540-62858-4_71BibTeX
@inproceedings{baroglio1997ecml-exploiting,
title = {{Exploiting Qualitative Knoledge to Enhance Skill Acquisition}},
author = {Baroglio, Cristina},
booktitle = {European Conference on Machine Learning},
year = {1997},
pages = {49-56},
doi = {10.1007/3-540-62858-4_71},
url = {https://mlanthology.org/ecmlpkdd/1997/baroglio1997ecml-exploiting/}
}