FPGA Placement Optimization with Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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FPGA Placement Optimization with Deep Reinforcement Learning

Published:2021-11 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Computer Engineering and Intelligent Control (ICCEIC)
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Author:

Zhang Junpeng,Deng Fang,Yang Xudong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9691500/9692000/09692008.pdf?arnumber=9692008

Reference7 articles.

1. Optimization by simulated annealing;kirkpatrick;Science,1983

2. Human-level control through deep reinforcement learning

3. Learn to Place: FPGA Placement Using Reinforcement Learning and Directed Moves

4. Adaptive FPGA Placement Optimization via Reinforcement Learning

5. Graph convolutional networks: a comprehensive review

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GCN-RA: A graph convolutional network-based resource allocator for reconfigurable systems;Journal of Computational Science;2023-12

2. Application of Machine Learning in FPGA EDA Tool Development;IEEE Access;2023

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