no code implementations • 6 Jul 2023 • Marc Zeller, Thomas Waschulzik, Reiner Schmid, Claus Bahlmann
In this paper, we outline a safe MLOps process for the continuous development and safety assurance of ML-based systems in the railway domain.
no code implementations • 14 Dec 2020 • Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien
A characteristic of reinforcement learning is the ability to develop unforeseen strategies when solving problems.
Multi-agent Reinforcement Learning reinforcement-learning +1