Double Pole Balancing with ESP (1999)
Author: Faustino Gomez
This page shows double pole-balancing controllers evolved using the Enforced Sub-Populations (ESP) neuroevolution algorithm.

Demo Website
People
Faustino Gomez Postdoctoral Alumni tino [at] idsia ch
Risto Miikkulainen Faculty risto [at] cs utexas edu
Publications
Neuroevolution: Harnessing Creativity in AI Model Design 2025
Sebastian Risi, David Ha, Yujin Tang, Risto Miikkulainen, To Appear In , MIT Press, Cambridge, MA 2025. MIT Press.
IJCNN-2013 Tutorial on Evolution of Neural Networks 2013
Risto Miikkulainen, To Appear In unpublished. Tutorial slides..
Solving Non-Markovian Control Tasks With Neuroevolution 1999
Faustino J. Gomez and Risto Miikkulainen, In Proceedings of the International Joint Conference on Artificial Intelligence, pp. 1356-1361, San Francisco, CA 1999. Kaufmann.
2-D Pole Balancing With Recurrent Evolutionary Networks 1998
Faustino Gomez and Risto Miikkulainen, In Proceedings of the International Conference on Artificial Neural Networks (ICANN-98), pp. 425-430, Skovde, Sweden 1998. Berlin, New York: Springer.
Software/Data
ESP JAVA 1.1 The ESP package contains the source code for the Enforced Sup-Populations system written in Java. This package is a near... 2002
ESP C++ The ESP package contains the source code for the Enforced Sup-Populations system written in C++. ESP is an extension t... 2000
Related Areas
Neuroevolution Reinforcement Learning
Labs
Neural Networks