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.

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).

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).

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 

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 

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).

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.

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 

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

Schneider, S. B. (2021). Conventional and Machine Learning Approaches for Network and Service Coordination.