M.Sc. Steffen Gracla (Wissenschaftlicher Mitarbeiter)

Adresse:
Universität Bremen
Arbeitsbereich Nachrichtentechnik
Otto-Hahn-Allee NW1
28359 Bremen

Raum	:NW1 N2380
E-Mail	:

Learning Model-Free Robust Precoding for Cooperative Multibeam Satellite Communications BibT_EX
S. Gracla, A. Schröder, M. Röper, C. Bockelmann, D. Wübben, A. Dekorsy
SDPNGS 2023: Signal and Data Processing for Next Generation Satellites at 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodos, Griechenland, 4. - 10. Juni 2023
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation BibT_EX
S. Gracla, C. Bockelmann, A. Dekorsy
International ITG 26th Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding, Braunschweig, Deutschland, 27. Februar - 3. März 2023

Robust Deep Reinforcement Learning Scheduling via Weight Anchoring BibT_EX
S. Gracla, E. Beck, C. Bockelmann, A. Dekorsy
IEEE, IEEE Communications Letters, Vol. 27, No. 1, pp. 210 - 213, Oktober 2022, DOI
On the Importance of Exploration for Real Life Learned Algorithms BibT_EX
S. Gracla, C. Bockelmann, A. Dekorsy
IEEE, 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communications, Oulu, Finnland, 28. - 30. Juli 2022, DOI
Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients BibT_EX
S. Gracla, E. Beck, C. Bockelmann, A. Dekorsy
IEEE, IEEE International Conference on Communications, Seoul/Online, Südkorea, 16. - 20. Mai 2022, DOI
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care BibT_EX
S. Gracla, E. Beck, C. Bockelmann, A. Dekorsy
IEEE, IEEE Wireless Communications and Networking Conference, Austin/Online, USA, 13. - 16. April 2022, DOI

zu vergeben / in Arbeit / abgeschlossen

Zuletzt aktualisiert am 12.05.2023 von S. Gracla