Potential field hierarchical reinforcement learning approach for target search by multi-AUV in 3-D underwater environments

International Journal of Control ◽

10.1080/00207179.2018.1526414 ◽

2018 ◽

Vol 93 (7) ◽

pp. 1677-1683 ◽

Author(s):

Xiang Cao ◽

Hongbing Sun ◽

Liqiang Guo

Keyword(s):

Reinforcement Learning ◽

Potential Field ◽

Learning Approach ◽

Target Search ◽

Hierarchical Reinforcement Learning

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A fuzzy-based potential field hierarchical reinforcement learning approach for target hunting by multi-AUV in 3-D underwater environments

International Journal of Control ◽

10.1080/00207179.2019.1648875 ◽

2019 ◽

pp. 1-10 ◽

Author(s):

Xiang Cao ◽

Fen Zuo

Keyword(s):

Reinforcement Learning ◽

Potential Field ◽

Learning Approach ◽

Hierarchical Reinforcement Learning

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Autonomous Surface Vessel Obstacle Avoidance Based on Hierarchical Reinforcement Learning With Potential Field Method

10.1115/1.0000710v ◽

2021 ◽

Author(s):

Chang Zhou ◽

Lei Wang ◽

Huacheng He ◽

Shangyu Yu

Keyword(s):

Reinforcement Learning ◽

Obstacle Avoidance ◽

Potential Field ◽

Field Method ◽

Hierarchical Reinforcement Learning ◽

Potential Field Method ◽

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A Case Study in Hybrid Multi-threading and Hierarchical Reinforcement Learning Approach for Cooperative Multi-agent Systems

2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI) ◽

10.1109/micai.2015.20 ◽

2015 ◽

Author(s):

Hiram Ponce ◽

Ricardo Padilla ◽

Alan Davalos ◽

Alvaro Herrasti ◽

Cynthia Pichardo ◽

...

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Multi Agent Systems ◽

Agent Systems ◽

Hierarchical Reinforcement Learning ◽

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Hierarchical Reinforcement Learning Approach Towards Autonomous Cross-Country Soaring

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-2010 ◽

2021 ◽

Author(s):

Stefan Notter ◽

Fabian Schimpf ◽

Walter Fichter

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Hierarchical Reinforcement Learning ◽

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A multi-agent path planning algorithm based on hierarchical reinforcement learning and artificial potential field

2015 11th International Conference on Natural Computation (ICNC) ◽

10.1109/icnc.2015.7378017 ◽

2015 ◽

Author(s):

Yanbin Zheng ◽

Bo Li ◽

Deyu An ◽

Na Li

Keyword(s):

Reinforcement Learning ◽

Path Planning ◽

Potential Field ◽

Artificial Potential Field ◽

Hierarchical Reinforcement Learning ◽

Planning Algorithm ◽

Multi Agent ◽

Path Planning Algorithm

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Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach

Proceedings of The Web Conference 2020 ◽

10.1145/3366423.3380149 ◽

2020 ◽

Author(s):

Yiwei Sun ◽

Suhang Wang ◽

Xianfeng Tang ◽

Tsung-Yu Hsieh ◽

Vasant Honavar

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Learning Approach ◽

Hierarchical Reinforcement Learning ◽

Graph Neural Networks

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Hierarchical Reinforcement Learning Approach for the Road Intersection Task

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures 2019 ◽

10.1007/978-3-030-25719-4_64 ◽

2019 ◽

pp. 495-506 ◽

Author(s):

Maxim Shikunov ◽

Aleksandr I. Panov

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

The Road ◽

Hierarchical Reinforcement Learning

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Hierarchical Reinforcement Learning Approach for Motion Planning in Mobile Robotics

2013 Latin American Robotics Symposium and Competition ◽

10.1109/lars.2013.62 ◽

2013 ◽

Author(s):

Andrea Buitrago-Martinez ◽

R. Fernando De la Rosa ◽

Fernando Lozano-Martinez

Keyword(s):

Reinforcement Learning ◽

Motion Planning ◽

Mobile Robotics ◽

Learning Approach ◽

Hierarchical Reinforcement Learning

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Adaptively Finding Optimal Routes under Principles of Spatial Cognition-A Hierarchical Reinforcement Learning Approach

Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications ◽

10.2991/icaita-16.2016.56 ◽

2016 ◽

Author(s):

Weifeng Zhao ◽

Qin Zhang

Keyword(s):

Reinforcement Learning ◽

Spatial Cognition ◽

Learning Approach ◽

Hierarchical Reinforcement Learning

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Autonomous Surface Vessel Obstacle Avoidance Based on Hierarchical Reinforcement Learning With Potential Field Method

10.1115/1.0005152v ◽

2021 ◽

Author(s):

Chang Zhou ◽

Lei Wang ◽

Huacheng He ◽

Shangyu Yu

Keyword(s):

Reinforcement Learning ◽

Obstacle Avoidance ◽

Potential Field ◽

Field Method ◽

Hierarchical Reinforcement Learning ◽

Potential Field Method ◽

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