has been cited by the following article(s):
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[1]
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Mountain UGV path planning via optimized dueling double DQN (D3QN): Structural optimization, path-guided rewards, and phased action policy
Control Engineering Practice,
2026
DOI:10.1016/j.conengprac.2026.106792
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[2]
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Intelligent Robot Trajectory Tracking Control Combining Mamdani Theory and Q-Learning Algorithm
IEEE Access,
2025
DOI:10.1109/ACCESS.2025.3572461
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[3]
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Policy-guided Q-learning algorithm for intelligent travel path planning
Journal of Computational Methods in Sciences and Engineering,
2025
DOI:10.1177/14727978251366566
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[4]
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Robot Dynamic Path Planning Based on Prioritized Experience Replay and LSTM Network
IEEE Access,
2025
DOI:10.1109/ACCESS.2025.3532449
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[5]
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An Improved Q-Learning Algorithm with Particle Swarm Optimization for Path Planning
2024 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC),
2024
DOI:10.1109/ICFTIC64248.2024.10913234
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[6]
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Dynamic path planning via Dueling Double Deep Q-Network (D3QN) with prioritized experience replay
Applied Soft Computing,
2024
DOI:10.1016/j.asoc.2024.111503
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[7]
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Path Planning of Industrial Wheeled Robots Based on Wireless Communication and Machine Learning Algorithms
Mobile Information Systems,
2022
DOI:10.1155/2022/3386116
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[8]
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Proximal policy optimization based dynamic path planning algorithm for mobile robots
Electronics Letters,
2022
DOI:10.1049/ell2.12342
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[9]
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Reinforcement Learning for Mobile Robot Navigation: An overview
2022 IEEE Information Technologies & Smart Industrial Systems (ITSIS),
2022
DOI:10.1109/ITSIS56166.2022.10118362
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