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312 Publications
2023 | Book Chapter | LibreCat-ID: 45895 | 
H. Karl, M. Maack, F. Meyer auf der Heide, S. Pukrop, and A. Redder, “On-The-Fly Compute Centers II: Execution of Composed Services in Configurable Compute Centers,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 183–202.
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2022 | Conference Paper | LibreCat-ID: 30236 |
S. B. Schneider, S. Werner, R. Khalili, A. Hecker, and H. Karl, “mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks,” presented at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, 2022.
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2022 | Conference Paper | LibreCat-ID: 32811
A. Redder, A. Ramaswamy, and H. Karl, “Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law,” presented at the 58th Allerton Conference on Communication, Control, and Computing, 2022.
LibreCat
2022 | Conference Paper | LibreCat-ID: 30793
A. Redder, A. Ramaswamy, and H. Karl, “Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication,” 2022, doi: 10.5220/0010845400003116.
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2022 | Journal Article | LibreCat-ID: 32854
A. Redder, A. Ramaswamy, and H. Karl, “Practical Network Conditions for the Convergence of Distributed Optimization,” IFAC-PapersOnLine, vol. 55, no. 13, pp. 133–138, 2022.
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2022 | Conference Paper | LibreCat-ID: 29220 |
S. Werner, S. B. Schneider, and H. Karl, “Use What You Know: Network and Service Coordination Beyond Certainty,” presented at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, 2022.
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2021 | Conference Paper | LibreCat-ID: 25278
H. Afifi, F. J. Sauer, and H. Karl, “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding,” 2021.
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2021 | Conference Paper | LibreCat-ID: 25281
H. Afifi, M. Guenther, A. Brendel, H. Karl, and W. Kellermann, “Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities,” 2021.
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2021 | Conference Paper | LibreCat-ID: 25293
M. Gunther, H. Afifi, A. Brendel, H. Karl, and W. Kellermann, “Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks,” 2021, doi: 10.1109/icassp39728.2021.9414528.
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2021 | Conference Paper | LibreCat-ID: 20125
A. Hasnain and H. Karl, “Learning Flow Scheduling,” in 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, USA.
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2021 | Conference Paper | LibreCat-ID: 21005
A. Hasnain and H. Karl, “Learning Coflow Admissions,” in IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver BC Canada.
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2021 | Conference Paper | LibreCat-ID: 21478
H. Afifi, A. Ramaswamy, and H. Karl, “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), 2021.
LibreCat
2021 | Conference Paper | LibreCat-ID: 21479
H. Afifi, A. Ramaswamy, and H. Karl, “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks,” in 2021 IEEE 18th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2021), 2021.
LibreCat
2021 | Conference Paper | LibreCat-ID: 21543 |
S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Distributed Computing Systems (ICDCS), Washington, DC, USA, 2021.
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2021 | Conference Paper | LibreCat-ID: 20693 |
S. B. Schneider, M. Jürgens, and H. Karl, “Divide and Conquer: Hierarchical Network and Service Coordination,” in IFIP/IEEE International Symposium on Integrated Network Management (IM), Bordeaux, France, 2021.
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2021 | Journal Article | LibreCat-ID: 21808 |
S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” Transactions on Network and Service Management, 2021.
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2021 | Working Paper | LibreCat-ID: 33854 |
S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.
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2020 | Conference Paper | LibreCat-ID: 19607 |
S. B. Schneider, L. D. Klenner, and H. Karl, “Every Node for Itself: Fully Distributed Service Coordination,” in IEEE International Conference on Network and Service Management (CNSM), 2020.
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