1 code implementation • 4 Dec 2022 • Giampaolo Liuzzi, Laura Palagi, Ruggiero Seccia
We aim to define ease-controlled modifications of the IG/RR schemes, which require a light additional computational effort and can be proved to converge under very weak and standard assumptions.
no code implementations • 18 Mar 2020 • Laura Palagi, Ruggiero Seccia
Deep Feedforward Neural Networks' (DFNNs) weights estimation relies on the solution of a very large nonconvex optimization problem that may have many local (no global) minimizers, saddle points and large plateaus.
no code implementations • 17 Jun 2019 • Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia
Curriculum learning is often employed in deep reinforcement learning to let the agent progress more quickly towards better behaviors.