M.Sc. Lennart Bramlage
Wissenschaftlicher Mitarbeiter, Doktorand
lennart.bramlage@reutlingen-university.de
Gebäude 9, Raum 132
- Machine Learning
- Reinforcement Learning
- Automatisierte Entwurfsmethoden für hocheffiziente integrierte Sensormodule in Edge-Computing-Anwendungen (HoLoDEC)
- Human-centered Interactive Artificial Intelligence Data-Incubation Center (AIDA)
- Y. Uhlmann, M. Brunner (geb. Essich), L. Bramlage, J. Scheible, and C. Curio, “Procedural- and Reinforcement-Learning-Based Automation Methods for Analog Integrated Circuit Sizing in the Electrical Design Space,” Electronics, vol. 12, no. 2, p. 302, Jan. 2023, doi: 10.3390/electronics12020302.
- Y. Uhlmann, M. Brunner (geb. Essich), L. Bramlage, J. Scheible and C. Curio, "Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards," 2022 ACM/IEEE 4th Workshop on Machine Learning for CAD (MLCAD), UT, USA, 2022, pp. 21-26, doi: 10.1109/MLCAD55463.2022.9900083.
- L. Bramlage, and A. Cortese, "Generalized attention-weighted reinforcement learning," Neural Networks 145 (2022): 10-21, doi: doi.org/10.1016/j.neunet.2021.09.023
- A. Melnik, L. Bramlage, H. Voss, F. Rossetto, and H. Ritter. "Combining causal modelling and deep reinforcement learning for autonomous agents in minecraft," 2019
