Collision avoidance decision-making strategy for multiple USVs based on Deep Reinforcement Learning algorithm

Zhewen Cui; Wei Guan; Xianku Zhang

doi:10.1016/j.oceaneng.2024.118323

ScienceGate Book Chapters

JOURNAL ARTICLE

Collision avoidance decision-making strategy for multiple USVs based on Deep Reinforcement Learning algorithm

Zhewen Cui Wei Guan Xianku Zhang

Year: 2024 Journal: Ocean Engineering Vol: 308 Pages: 118323-118323 Publisher: Elsevier BV

DOI: 10.1016/j.oceaneng.2024.118323

Get Full-Text PDF Get Analytical Report

Keywords:

Collision avoidance Reinforcement learning Artificial intelligence Computer science Reinforcement Algorithm Collision Machine learning Mathematical optimization Psychology Mathematics Social psychology Computer security

Metrics

Cited By

12.19

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Robotic Path Planning Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Collision avoidance decision-making strategy for multiple USVs based on Deep Reinforcement Learning algorithm

Metrics

Citation History

Topics

Related Documents

COLREGs-abiding hybrid collision avoidance algorithm based on deep reinforcement learning for USVs

An Intelligent Algorithm for USVs Collision Avoidance Based on Deep Reinforcement Learning Approach with Navigation Characteristics

Deep reinforcement learning–based collision avoidance strategy for multiple unmanned aerial vehicles

COLREGs-compliant autonomous collision avoidance method based on deep reinforcement learning for USVs

Collaborative Collision Avoidance Approach for USVs Based on Multi-Agent Deep Reinforcement Learning