On-Chip Optimization and Deep Reinforcement Learning in Memristor Based Computing
Author:
Affiliation:
1. Electrical and Computer Engineering, University of Dayton, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3611315.3633242
Reference21 articles.
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3. S. Yu H. Jiang S. Huang X. Peng and A. Lu 2021. "Compute-in-Memory Chips for Deep Learning: Recent Trends and Prospects " in IEEE Circuits and Systems Magazine vol. 21 no. 3 pp. 31-56 third quarter DOI: 10.1109/MCAS.2021.3092533
4. Sebastian A. Le Gallo M. Khaddam-Aljameh R. et al. 2020. Memory devices and applications for in-memory computing. Nat. Nanotechnol. 15 529–544. https://doi.org/10.1038/s41565-020-0655-z
5. Reinforcement learning in memristive spiking neural networks through modulation of resume
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