Transfer Learning for Dynamical Systems Models via Autoencoders and GANs

Transfer learning has seen significant progress in the domains of supervised learning and reinforcement learning, yet there remains a noticeable gap in the area of regression. In supervised learning, various transfer learning methods have been developed to leverage knowledge from one task to improve...

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Vydané v:	Proceedings of the American Control Conference s. 8 - 14
Hlavní autori:	Damiani, Angelo, Lopez, Gustavo Viera, Manganini, Giorgio, Metelli, Alberto Maria, Restelli, Marcello
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	AACC 10.07.2024
Predmet:	Accuracy Adaptation models Autoencoders Heuristic algorithms Instance Transfer Markov Decision Process Model Transfer Prediction algorithms Reinforcement learning Supervised learning Transfer learning
ISSN:	2378-5861
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