New model frames human reinforcement learning in the context of memory and habits

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
IEEE

Distributed Learning Framework for Earth Observation on Multilayer Non-Terrestrial Networks

Abstract: A novel Distributed Learning (DL) framework called Generalized Federated Split Transfer Learning (GFSTL) is proposed on a multilayer Non-Terrestrial Network (NTN) for Earth Observation (EO) ...