Convergence and Stability of Optimal Regulation via Generalized N -Step Value Gradient Learning.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3245630
Abstract: In this article, the generalized N -step value gradient learning (GNSVGL) algorithm, which takes a long-term prediction parameter λ into account, is developed for infinite horizon discounted near-optimal control of discrete-time nonlinear systems. The proposed… read more here.
Keywords: step value; gradient learning; value gradient; value ... See more keywords
Surrogate gradient learning in spiking networks trained on event-based cytometry dataset.
Sign Up to like & getrecommendations! Published in 2024 at "Optics express"
DOI: 10.1364/oe.518323
Abstract: Spiking neural networks (SNNs) are bio-inspired neural networks that - to an extent - mimic the workings of our brains. In a similar fashion, event-based vision sensors try to replicate a biological eye as closely… read more here.
Keywords: cytometry; event based; surrogate gradient; gradient learning ... See more keywords
Gradient Learning under Tilted Empirical Risk Minimization
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24070956
Abstract: Gradient Learning (GL), aiming to estimate the gradient of target function, has attracted much attention in variable selection problems due to its mild structure requirements and wide applicability. Despite rapid progress, the majority of the… read more here.
Keywords: risk minimization; empirical risk; gradient learning; gradient ... See more keywords