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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 DOI: https://doi.org/10.9766/KIMST.2021.24.1.061 |
Dynamic Window Approach with path-following for Unmanned Surface Vehicle based on Reinforcement Learning Deep reinforcement learning-based controller for path following of an unmanned surface vehicle Q-Learning Based Robot Path Planning with Improved Dynamic Window Approach Collision avoidance for an unmanned surface vehicle using deep reinforcement learning Unmanned Aerial Vehicle Path Planning Algorithm Based on Deep Reinforcement Learning in Large-Scale and Dynamic Environments Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning Deep Reinforcement Learning for Quadrotor Path Following and Obstacle Avoidance Reinforcement learning-based finite-time tracking control of an unknown unmanned surface vehicle with input constraints Path Planning for Unmanned Marine Vessels Based on Improved Reinforcement Learning Iterative Learning-Based Path and Speed Profile Optimization for an Unmanned Surface Vehicle |