Hierarchical Reinforcement Learning-based Mapless Navigation with Predictive Exploration Worthiness-Reference-Cited by-同舟云学术

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Hierarchical Reinforcement Learning-based Mapless Navigation with Predictive Exploration Worthiness

Published:2023-08-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Mechatronics and Automation (ICMA)
language:
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Author:

Gao Yan¹,Ji Ze¹,Wu Jing²,Wei Changyun³,Grech Raphael⁴

Affiliation:

1. Cardiff University,School of Engineering,Cardiff,United Kingdom

2. Cardiff University,School of Computer Science and Informatics,Cardiff,United Kingdom

3. Hohai University,College of Mechanical and Electrical Engineering,Changzhou,China

4. Spirent Communications,Paignton,United Kingdom

Funder

Royal Academy of Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10215380/10215516/10215569.pdf?arnumber=10215569

Reference21 articles.

1. Simultaneous localization and mapping: part I

2. Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation

3. Discrete Deep Reinforcement Learning for Mapless Navigation

4. Target-driven visual navigation in indoor scenes using deep reinforcement learning

5. Sub-policy adaptation for hierarchical reinforcement learning;Li;arXiv preprint arXiv:1906.05862,2019

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