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OmniDRL: A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dualmode Weight Compression and On-chip Sparse Weight Transposer.

Juhyoung LeeSangyeob KimSangjin KimWooyoung JoDonghyeon HanJinsu LeeHoi-Jun Yoo
Published in: VLSI Circuits (2021)
Keyphrases
  • reinforcement learning
  • high speed
  • high dimensional
  • state space
  • low cost
  • functional verification
  • image compression
  • optimal policy
  • compression algorithm
  • single chip