Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients. - Steffen Gracla; Edgar Beck; Carsten Bockelmann; Armin Dekorsy (ICC, 2022)

On the Importance of Exploration for Real Life Learned Algorithms. - Steffen Gracla; Carsten Bockelmann; Armin Dekorsy (SPAWC, 2022)

Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care. - Steffen Gracla; Edgar Beck; Carsten Bockelmann; Armin Dekorsy (WCNC, 2022)

Learning Model-Free Robust Precoding for Cooperative Multibeam Satellite Communications. - Steffen Gracla; Alea Schröder; Maik Röper; Carsten Bockelmann; Dirk Wübben; Armin Dekorsy (ICASSP Workshops, 2023)

A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation. - Steffen Gracla; Carsten Bockelmann; Armin Dekorsy (CoRR, 2023)

Robust Deep Reinforcement Learning Scheduling via Weight Anchoring. - Steffen Gracla; Edgar Beck; Carsten Bockelmann; Armin Dekorsy (IEEE Commun. Lett., 2023)

Flexible Robust Beamforming for Multibeam Satellite Downlink Using Reinforcement Learning. - Alea Schröder; Steffen Gracla; Maik Röper; Dirk Wübben; Carsten Bockelmann; Armin Dekorsy (ICC, 2024)