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"OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With ..."

Juhyoung Lee et al. (2022)

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DOI: 10.1109/JSSC.2021.3138520

access: closed

type: Journal Article

metadata version: 2022-04-27

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Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Ji-Hoon Kim, Donghyeon Han, Hoi-Jun Yoo:
OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight Transposer. IEEE J. Solid State Circuits 57(4): 999-1012 (2022)

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