3 citations · 6 across the 4 of their papers we have counts for
4 papers
Symbolic recovery of PDEs from measurement data
Erion Morina, Philipp Scholl, Martin Holler
Models based on partial differential equations (PDEs) are powerful for describing a wide range of complex phenomena in the natural sciences. Accurately identifying the PDE model, w…
Symbolic Recovery of Differential Equations: The Identifiability Problem
Philipp Scholl, Aras Bacho, Holger Boche +1
Symbolic recovery of differential equations is the ambitious attempt at automating the derivation of governing equations with the use of machine learning techniques. In contrast to…
Safe Policy Improvement Approaches and their Limitations
Philipp Scholl, Felix Dietrich, Clemens Otte +1
Safe Policy Improvement (SPI) is an important technique for offline reinforcement learning in safety critical applications as it improves the behavior policy with a high probabilit…
Safe Policy Improvement Approaches on Discrete Markov Decision Processes
Philipp Scholl, Felix Dietrich, Clemens Otte +1
Safe Policy Improvement (SPI) aims at provable guarantees that a learned policy is at least approximately as good as a given baseline policy. Building on SPI with Soft Baseline Boo…