InfoMax Bayesian learning of the Furuta pendulum

Authors

  • László A. Jeni
  • György Flórea
  • András Lőrincz

Abstract

We have studied the InfoMax (D-optimality) learning for the two-link Furuta pendulum. We compared InfoMax and random learning methods. The InfoMax learning method won by a large margin, it visited a larger domain and provided better approximation during the same time interval. The advantages and the limitations of the InfoMax solution are treated.

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Published

2008-01-01

How to Cite

Jeni, L. A., Flórea, G., & Lőrincz, A. (2008). InfoMax Bayesian learning of the Furuta pendulum. Acta Cybernetica, 18(4), 637–649. Retrieved from https://cyber.bibl.u-szeged.hu/index.php/actcybern/article/view/3742

Issue

Section

Regular articles