AGV Path Planning Using Curiosity-Driven Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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AGV Path Planning Using Curiosity-Driven Deep Reinforcement Learning

Published:2023-08-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
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Author:

Yin Huilin¹,Lin Yinjia¹,Yan Jun¹,Meng Qian²,Festl Karin³,Schichler Lukas³,Watzenig Daniel⁴

Affiliation:

1. School of Electronic and Information Engineering, Tongji University,Shanghai,China

2. University of South-eastern Norway,MIS Research Group,Vestfold,Norway,3603

3. Virtual Vehicle Research GmbH,Graz,Austria

4. Institute of Automation and Control, Graz University of Technology,Graz,Austria,8010

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260579.pdf?arnumber=10260579

Reference25 articles.

1. Outracing champion Gran Turismo drivers with deep reinforcement learning

2. Mastering the game of Go with deep neural networks and tree search;david;Nature,2016

3. Application of deep reinforcement learning in mobile robot path planning;2017 Chinese Automation Congress (CAC),0

4. A Reinforcement Learning based Path Planning Approach in 3D Environment

5. Human-level control through deep reinforcement learning;volodymyr;Nature,2015

Cited by 1 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. Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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