TOWARDS EFFECTIVE STRATEGIES FOR MOBILE ROBOT USING REINFORCEMENT LEARNING AND GRAPH ALGORITHMS

TOWARDS EFFECTIVE STRATEGIES FOR MOBILE ROBOT USING REINFORCEMENT LEARNING AND GRAPH ALGORITHMS

Abstract. This research paper explores the use of Reinforcement Learning (RL) and traditional graph algorithms like A* for mobile robots in the field of path planning and strategy development. The paper conducts a comprehensive analysis of these algorithms by evaluating their performance in terms of...

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Bibliographic Details
Main Authors:	Sofiia Shaposhnikova, Dmytro Omelian
Format:	Article
Language:	English
Published:	Odessa National Academy of Food Technologies 2023-06-01
Series:	Автоматизация технологических и бизнес-процессов
Subjects:	: reinforcement learning (rl), mobile robots, path planning, mdp, a*, q-learning, real-world applications
Online Access:	https://journals.ontu.edu.ua/index.php/atbp/article/view/2522

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