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Dynamic Window Approach with path-following for Unmanned Surface Vehicle based on Reinforcement Learning
Jinyeong Heo, Jeesoo Ha, Junsik Lee, Jaekwan Ryu, Yongjin Kwon
J. KIMS Technol. 2021;24(1):61-69.   Published online February 5, 2021

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Dynamic Window Approach with path-following for Unmanned Surface Vehicle based on Reinforcement Learning
Journal of the Korea Institute of Military Science and Technology. 2021;24(1):61-69   Crossref logo
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Deep reinforcement learning-based controller for path following of an unmanned surface vehicle
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Q-Learning Based Robot Path Planning with Improved Dynamic Window Approach
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Collision avoidance for an unmanned surface vehicle using deep reinforcement learning
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Unmanned Aerial Vehicle Path Planning Algorithm Based on Deep Reinforcement Learning in Large-Scale and Dynamic Environments
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Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning
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Deep Reinforcement Learning for Quadrotor Path Following and Obstacle Avoidance
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Reinforcement learning-based finite-time tracking control of an unknown unmanned surface vehicle with input constraints
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Path Planning for Unmanned Marine Vessels Based on Improved Reinforcement Learning
2021 13th International Conference on Advanced Infocomm Technology (ICAIT). 2021;   Crossref logo

Iterative Learning-Based Path and Speed Profile Optimization for an Unmanned Surface Vehicle
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