Q-Learning Path Finding for Multi-Unmanned Surface Vehicles with Obstacles Avoidance Mechanism in Static and Dynamic Environment

Author:

Lin Yuqing,Du Liang,Yuen Kum Fai

Publisher

Elsevier BV

Reference35 articles.

1. Fast grid based collision avoidance for vessels using a* search algorithm;Michael Blaich;2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR),2012

2. Milp and nlp techniques for centralized trajectory planning of multiple unmanned air vehicles;Francesco Borrelli;American Control Conference,2006

3. Optimized-weighted-speedy q-learning algorithm for multi-ugv in static environment path planning under anti-collision cooperation mechanism;Yuanying Cao;Mathematics,2023

4. A three-layered architecture for real time path planning and obstacle avoidance for surveillance usvs operating in harbour fields;Giuseppe Casalino;Oceans 2009-Europe,2009

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