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358 Publications
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.
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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: 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: 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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2021 | Working Paper | LibreCat-ID: 35889 |
S. B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination. 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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2020 | Conference Paper | LibreCat-ID: 19609 |
S. B. Schneider et al., “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Network and Service Management (CNSM), 2020.
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2020 | Conference Paper | LibreCat-ID: 17082
A. Hasnain and H. Karl, “Coflow Scheduling with Performance Guarantees for Data Center Applications,” in 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), Melbourne, Australia, 2020.
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2020 | Conference Paper | LibreCat-ID: 16219 |
S. B. Schneider, N. P. Satheeschandran, M. Peuster, and H. Karl, “Machine Learning for Dynamic Resource Allocation in Network Function Virtualization,” in IEEE Conference on Network Softwarization (NetSoft), Ghent, Belgium, 2020.
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