Search Results for author:
Found 2 papers, 1 papers with code
Convergence of GANs Training: A Game and Stochastic Control Methodology
Training generative adversarial networks (GANs) is known to be difficult, especially for financial time series.
Improving reinforcement learning algorithms: towards optimal learning rate policies
In the outer level, we propose an optimal methodology for the selection of the predefined sequence $(\gamma^o_k)_{k\geq 0}$.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
