InfoMax Bayesian learning of the Furuta pendulum
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...
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| Corporate Author: | |
| Format: | Article |
| Published: |
2008
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| Series: | Acta cybernetica
18 No. 4 |
| Kulcsszavak: | Számítástechnika, Kibernetika |
| Subjects: | |
| Online Access: | http://acta.bibl.u-szeged.hu/12839 |
| Summary: | 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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| Physical Description: | 637-649 |
| ISSN: | 0324-721X |