Adaptive Multi-Core Real- Time Scheduling Based on Reinforcement Learning-Reference-Cited by-同舟云学术

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Adaptive Multi-Core Real- Time Scheduling Based on Reinforcement Learning

Published:2024-06-18 Issue: Volume:12 Page:148-153
ISSN:
Container-title:2024 IEEE 18th International Conference on Control & Automation (ICCA)
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Author:

Liang Yonghui¹,Li Hui¹,Shen Fei²,Xu Qimin¹,Hua Shuna³,Zhu Shanying¹

Affiliation:

1. Shanghai Jiao Tong University,Department of Automation

2. Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Key Laboratory of Wireless Sensor Network and Communications,Shanghai,China,200050

3. North Information Control Research Academy Group Company Ltd.,Nanjing,China,211153

Funder

NSF of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10591777/10591797/10591927.pdf?arnumber=10591927

Reference16 articles.

1. Real-Time scheduling and analysis of parallel tasks on heterogeneous multi-cores

2. Concurrent Order Dispatch for Instant Delivery with Time-Constrained Actor-Critic Reinforcement Learning

3. On-line self-adaptive framework for tailoring a neural-agent learning model addressing dynamic real-time scheduling problems

4. Reinforcement learning applications to machine scheduling problems: a comprehensive literature review

5. Reinforcement learning in robotics: A survey

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