A Design of Reinforcement Learning Accelerator Based on Deep Q-learning Network-Reference-Cited by-同舟云学术

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A Design of Reinforcement Learning Accelerator Based on Deep Q-learning Network

Published:2022-10-12 Issue: Volume: Page:
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Container-title:2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)
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Author:

Nai Yufei¹,Fang Zhenghan¹,Zhao Limeng²

Affiliation:

1. Jiangnan University,School of Internet of Things Engineering,Wuxi,China

2. Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986511/9986516/09986639.pdf?arnumber=9986639

Reference9 articles.

1. FPGA implementation of convolutional neural networks with fixed-point calculations;solovyev,2018

2. Playing atari with deep reinforcement learning;mnih,2013

3. HLS

4. CUDA by Example: an Introduction to General-Purpose GPU Programming;jie,2010

5. Deep Reinforcement Learning: an Overview;li,2017

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. Design and optimization of dynamic reliability-driven order allocation and inventory management decision model;PeerJ Computer Science;2024-09-13

2. Hardware Implementation of On-Chip Learning Neural Network on FPGA;2023 42nd Chinese Control Conference (CCC);2023-07-24

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