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Mobile robot navigation using deep reinforcement learning: Algorithms, challenges, and future directions

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Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
Autonomous navigation of mobile robots in unstructured, dynamic environments is a critical challenge in robotics. Deep Reinforcement Learning (DRL) has emerged as a promising approach for enabling robots to learn complex navigation policies through ...