193 citations · 196 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
Multi-Objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading
Federico Cornalba, Constantin Disselkamp, Davide Scassola +1
We investigate the potential of Multi-Objective, Deep Reinforcement Learning for stock and cryptocurrency single-asset trading: in particular, we consider a Multi-Objective algorit…
cond-mat.mes-hall2019★ 193 cited
Spirit: Multifunctional Framework for Atomistic Spin Simulations
Gideon P. Müller, Markus Hoffmann, Constantin Disselkamp +6
The \textit{Spirit} framework is designed for atomic scale spin simulations of magnetic systems of arbitrary geometry and magnetic structure, providing a graphical user interface w…