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Reinforcement learning for datacenter congestion control C Tessler, Y Shpigelman, G Dalal, A Mandelbaum, D Haritan Kazakov, ... ACM SIGMETRICS Performance Evaluation Review 49 (2), 43-46, 2022 | 36 | 2022 |
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs B Fuhrer, Y Shpigelman, C Tessler, S Mannor, G Chechik, E Zahavi, ... 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023 | 3 | 2023 |
Vector activation function to support machine learning inference and other processes I Pardo, B Fuhrer, N Korem, G Yefet, T Bar-On US Patent App. 17/500,598, 2023 | 1 | 2023 |
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Performing network congestion control utilizing reinforcement learning S Mannor, C Tessler, Y Shpigelman, A Mandelbaum, G Dalal, D Kazakov, ... US Patent App. 17/341,210, 2022 | 1 | 2022 |
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Machine learning techniques for implementing tree-based network congestion control G Chechik, G Dalal, B Fuhrer, DH KAZAKOV, S Mannor, Y Shpigelman, ... US Patent App. 18/298,949, 2024 | | 2024 |
Efficient Piecewise Polynomial Approximators T Bar-On, ND Korem, G Yefet, B Fuhrer US Patent App. 17/577,059, 2023 | | 2023 |
Dynamic input-output pacer with artificial intelligence G Mataev, S Shuler, A Mandelbaum, S Rasal, O Duer, BASE Fuhrer, ... US Patent App. 17/713,251, 2023 | | 2023 |
Digital simulator of data communication apparatus G Mataev, A Mandelbaum, BASE Fuhrer US Patent App. 17/713,253, 2023 | | 2023 |
Performing network congestion control utilizing reinforcement learning S Mannor, C Tessler, Y Shpigelman, A Mandelbaum, G Dalal, D Kazakov, ... US Patent App. 17/959,042, 2023 | | 2023 |