Abstract: The probabilistic boundary is necessary for robust control design in uncertain dynamical systems. The problem of computing the tightest ellipsoidal boundary of the future trajectory with a ...
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 ...
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.
@InProceedings{Thrun+Schwartz:1993, author = "Thrun, Sebastian and Schwartz, Anton", title = "Issues in Using Function Approximation for Reinforcement Learning ...
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 ...
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