Reinforcement Learning with Weightless Neural Networks (Master’s Dissertation)
Published in , 2022
My Master’s dissertation, on the challenges of employing weightless networks in reinforcement learning tasks.
Publications
Functional Gradient Descent for n-Tuple Regression
Published in 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2021
This paper is about a n-tuple network architecture that is suitable for nonstationary online learning.
Recommended citation: Katopodis, R. F. ; Lima, P. M. V. ; França, F. M. G. . Functional Gradient Descent for n-Tuple Regression. In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2021, Bruges. Proc of ESANN 2021. Brussels: i6doc.com, 2021. p. 505-511.