Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation

Neural networks are being increasingly applied to control and decision making for learning-enabled cyber-physical systems (LE-CPSs). They have shown promising performance without requiring the development of complex physical models; however, their adoption is significantly hindered by the concerns o...

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Bibliographic Details

Published in:	2021 58th ACM/IEEE Design Automation Conference (DAC) pp. 397 - 402
Main Authors:	Wang, Yixuan, Huang, Chao, Wang, Zhilu, Xu, Shichao, Wang, Zhaoran, Zhu, Qi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2021
Subjects:	Adaptive systems Energy measurement Neural networks Reinforcement learning Robustness Time measurement Weight measurement
Online Access:	Get full text
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