Karl, H., Maack, M., Meyer auf der Heide, F., Pukrop, S., &; Redder, A. (2023). On-The-Fly Compute Centers II: Execution of Composed Services in Configurable Compute Centers. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 183–202). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068664 
LibreCat: /record/45895
DOI: 10.5281/zenodo.8068664

Schneider, S. B., Werner, S., Khalili, R., Hecker, A., &; Karl, H. (2022). mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.
LibreCat: /record/30236

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law. Proceedings of the 58th Allerton Conference on Communication, Control, and Computing. 58th Allerton Conference on Communication, Control, and Computing.
LibreCat: /record/32811

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication. Proceedings of the 14th International Conference on Agents and Artificial Intelligence.https://doi.org/10.5220/0010845400003116 
LibreCat: /record/30793
DOI: 10.5220/0010845400003116

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Distributed gradient-based optimization in the presence of dependent  aperiodic communication. In arXiv:2201.11343.
LibreCat: /record/30790
arXiv: 2201.11343

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. In arXiv:2201.00570.
LibreCat: /record/30791
arXiv: 2201.00570

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Practical Network Conditions for the Convergence of Distributed Optimization. IFAC-PapersOnLine, 55(13), 133–138.
LibreCat: /record/32854

Werner, S., Schneider, S. B., &; Karl, H. (2022). Use What You Know: Network and Service Coordination Beyond Certainty. IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.
LibreCat: /record/29220

Afifi, H., Sauer, F. J., &; Karl, H. (2021). Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21).
LibreCat: /record/25278

Afifi, H., Guenther, M., Brendel, A., Karl, H., &; Kellermann, W. (2021). Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities. 14. ITG Conference on Speech Communication (ITG 2021).
LibreCat: /record/25281

Gunther, M., Afifi, H., Brendel, A., Karl, H., &; Kellermann, W. (2021). Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).https://doi.org/10.1109/icassp39728.2021.9414528 
LibreCat: /record/25293
DOI: 10.1109/icassp39728.2021.9414528

Hasnain, A., &; Karl, H. (n.d.). Learning Flow Scheduling. In 2021 IEEE 18th Annual Consumer Communications &; Networking Conference (CCNC). Las Vegas, USA: IEEE Computer Society.https://doi.org/10.1109/CCNC49032.2021.9369514 
LibreCat: /record/20125
DOI: https://doi.org/10.1109/CCNC49032.2021.9369514

Hasnain, A., &; Karl, H. (n.d.). Learning Coflow Admissions. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Vancouver BC Canada: IEEE Communications Society.https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599 
LibreCat: /record/21005
DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484599

Afifi, H., Ramaswamy, A., &; Karl, H. (2021). Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks. In 2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium). Montreal, Canada.
LibreCat: /record/21478

Afifi, H., Ramaswamy, A., &; Karl, H. (2021). A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. In 2021 IEEE 18th Annual Consumer Communications \'26; Networking Conference (CCNC) (CCNC 2021).
LibreCat: /record/21479

Schneider, S. B., Qarawlus, H., &; Karl, H. (2021). Distributed Online Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Distributed Computing Systems (ICDCS). Washington, DC, USA: IEEE.
LibreCat: /record/21543

Schneider, S. B., Jürgens, M., &; Karl, H. (2021). Divide and Conquer: Hierarchical Network and Service Coordination. In IFIP/IEEE International Symposium on Integrated Network Management (IM). Bordeaux, France: IFIP/IEEE.
LibreCat: /record/20693

Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., &; Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management.https://doi.org/10.1109/TNSM.2021.3076503 
LibreCat: /record/21808
DOI: 10.1109/TNSM.2021.3076503

Schneider, S. B., Karl, H., Khalili, R., &; Hecker, A. (2021). DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.
LibreCat: /record/33854

Schneider, S. B., Klenner, L. D., &; Karl, H. (2020). Every Node for Itself: Fully Distributed Service Coordination. In IEEE International Conference on Network and Service Management (CNSM). IEEE.
LibreCat: /record/19607