Guidance and Control Networks with Periodic Activation Functions
<|reference_start|>Guidance and Control Networks with Periodic Activation Functions: Inspired by the versatility of sinusoidal representation networks (SIRENs), we present a modified Guidance & Control Networks (G&CNETs) variant using periodic activation functions in the hidden layers. We demonstrate that the resulting G&CNETs train faster and achieve a lower overall training error on three different control scenarios on which G&CNETs have been tested previously. A preliminary analysis is presented in an attempt to explain the superior performance of the SIREN architecture for the particular types of tasks that G&CNETs excel on.<|reference_end|>
@article{origer2024guidance,
    title={Guidance and Control Networks with Periodic Activation Functions},
    author={Sebastien Origer, Dario Izzo},
    journal={arXiv preprint arXiv:2405.18084},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.18084},
    primaryClass={cs.LG}
}