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of 3
pro vyhledávání: '"Andi M. Riyadhus Ilmy"'
Publikováno v:
IEEE Access, Vol 11, Pp 144-161 (2023)
This paper proposes a FAst paRAllel and pipeliNE Q-learning accelerator (FARANE-Q) for a configurable Reinforcement Learning (RL) algorithm implemented in a System on Chip (SoC). The proposed work offers flexibility, configurability, and scalability
Externí odkaz:
https://doaj.org/article/f4a2c891fd6d4470abdad8e33538378e
Publikováno v:
2023 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS).
Autor:
Nana Sutisna, Andi M. Riyadhus Ilmy, Zulfikar Arifuzzaki, Infall Syafalni, Daffa Maulana, Rahmat Mulyawan, Trio Adiono
Publikováno v:
2022 International Symposium on Electronics and Smart Devices (ISESD).