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12 Publications
2022 | Conference Paper | LibreCat-ID: 30236 | 
Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. In: IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE; 2022.
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2021 | Conference Paper | LibreCat-ID: 25278
Afifi H, Sauer FJ, Karl H. Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. In: 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21). ; 2021.
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2021 | Conference Paper | LibreCat-ID: 25281
Afifi H, Guenther M, Brendel A, Karl H, Kellermann W. Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities. In: 14. ITG Conference on Speech Communication (ITG 2021). ; 2021.
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2021 | Conference Paper | LibreCat-ID: 20125
Hasnain A, Karl H. Learning Flow Scheduling. In: 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). IEEE Computer Society. doi:https://doi.org/10.1109/CCNC49032.2021.9369514
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2021 | Conference Paper | LibreCat-ID: 21005
Hasnain A, Karl H. Learning Coflow Admissions. In: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE Communications Society. doi:10.1109/INFOCOMWKSHPS51825.2021.9484599
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2021 | Conference Paper | LibreCat-ID: 21479
Afifi H, Ramaswamy A, Karl H. A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. In: 2021 IEEE 18th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2021). ; 2021.
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2021 | Conference Paper | LibreCat-ID: 21543 |
Schneider SB, Qarawlus H, Karl H. Distributed Online Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Distributed Computing Systems (ICDCS). IEEE; 2021.
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2021 | Journal Article | LibreCat-ID: 21808 |
Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. 2021. doi:10.1109/TNSM.2021.3076503
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2021 | Working Paper | LibreCat-ID: 33854 |
Schneider SB, Karl H, Khalili R, Hecker A. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.; 2021.
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2021 | Working Paper | LibreCat-ID: 35889 |
Schneider SB. Conventional and Machine Learning Approaches for Network and Service Coordination.; 2021.
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2020 | Conference Paper | LibreCat-ID: 19609 |
Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.
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2019 | Conference Paper | LibreCat-ID: 13443 |
Redder A, Ramaswamy A, Quevedo D. Deep reinforcement learning for scheduling in large-scale networked control systems. In: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. ; 2019.
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