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Deep Reinforcement Learning for System-on-Chip: Myths and Realities

Deep Reinforcement Learning for System-on-Chip: Myths and Realities

29 July 2022
Tegg Taekyong Sung
Bo Ryu
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning for System-on-Chip: Myths and Realities"

2 / 2 papers shown
Title
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs
A. Alper Goksoy
A. Krishnakumar
M. S. Hassan
Allen-Jasmin Farcas
Ali Akoglu
R. Marculescu
Ümit Y. Ogras
21
11
0
22 Sep 2021
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement
  Learning
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning
Tegg Taekyong Sung
Bo Ryu
11
2
0
27 Apr 2021
1