A Python high-frequency intraday trading engine for simulating the rolling intrinsic strategy on the European market, solved as a dynamic program. See our paper (tbd, Schaurecker & Wozabal et al.

Abstract: Approximation ability is one of the most important topics in the field of neural networks (NNs). Feedforward NNs, activated by rectified linear units and some of their specific smoothed ...

Abstract: It has been made great progress on single image deraining based on deep convolutional neural networks (CNNs). In most existing deep deraining methods, CNNs aim to learn a direct mapping from ...

The source code for the paper L. Lu, P. Jin, G. Pang, Z. Zhang, & G. E. Karniadakis. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators. Nature Machine ...

@InProceedings{Thrun+Schwartz:1993, author = "Thrun, Sebastian and Schwartz, Anton", title = "Issues in Using Function Approximation for Reinforcement Learning ...