Search Results for author: Jakob Rehrl

Found 1 papers, 0 papers with code

Python-Based Reinforcement Learning on Simulink Models

no code implementations14 May 2024 Georg Schäfer, Max Schirl, Jakob Rehrl, Stefan Huber, Simon Hirlaender

This paper proposes a framework for training Reinforcement Learning agents using Python in conjunction with Simulink models.

C++ code Code Generation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.