ML Anthology

A Case Study of Explanation-Based Control

Gerald DeJong
ICML 1995 pp. 167-175
doi:10.1016/B978-1-55860-377-6.50029-3 /icml/1995/dejong1995icml-case/

Abstract

An explanation-based control (EBC) strategy is shown to be in some respects superior to the known human-constructed strategies from control theory. The dynamical system to be controlled is a complex one. Any solution necessarily drives the system far into a non-linear region in which chaotic regimes are typical. The EBC solution demonstrates better time efficiency, energy efficiency, and robustness to unmodeled dynamics than existing control theory solutions.

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Cite

Text

DeJong. "A Case Study of Explanation-Based Control." International Conference on Machine Learning, 1995. doi:10.1016/B978-1-55860-377-6.50029-3

Markdown

[DeJong. "A Case Study of Explanation-Based Control." International Conference on Machine Learning, 1995.](https://mlanthology.org/icml/1995/dejong1995icml-case/) doi:10.1016/B978-1-55860-377-6.50029-3

BibTeX

@inproceedings{dejong1995icml-case,
  title     = {{A Case Study of Explanation-Based Control}},
  author    = {DeJong, Gerald},
  booktitle = {International Conference on Machine Learning},
  year      = {1995},
  pages     = {167-175},
  doi       = {10.1016/B978-1-55860-377-6.50029-3},
  url       = {https://mlanthology.org/icml/1995/dejong1995icml-case/}
}