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An elite Q-Learning algorithm with hyper-heuristic scheduling for path planning in complex environments
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Q-learning-based unmanned aerial vehicle path planning with dynamic obstacle avoidance
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Fermat-Weber location particle swarm optimization for cooperative path planning of unmanned aerial vehicles
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A modified grey wolf optimization-based dendritic neural model for stock index return prediction
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A novel path planning approach to minimize machining time in laser machining of irregular micro-holes using adaptive discrete grey wolf optimizer
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Optimal scheduling method for electric vehicle charging and discharging via Q-learning-based particle swarm optimization
inferredcites →https://doi.org/10.1016/j.jfranklin.2023.01.033openalex-snapshot
Dynamic path planning of mobile robot based on improved simulated annealing algorithm
inferredcites →https://doi.org/10.1016/j.knosys.2024.111400openalex-snapshot
An optimized Q-Learning algorithm for mobile robot local path planning
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A Q-learning robot path planning algorithm based on improved reward function and exploration strategy
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Optimal path planning in a real-world radioactive environment: A comparative study of A-star and Dijkstra algorithms
inferredcites →https://doi.org/10.1016/j.oceaneng.2025.120746openalex-snapshot
A COLREGs-based path-planning method for collision avoidance considering path cost through reinforcement learning
inferredcites →https://doi.org/10.1080/08839514.2023.2216060openalex-snapshot
Abnormal driving behavior detection based on an improved ant colony algorithm
inferredcites →https://doi.org/10.1109/access.2023.3241960openalex-snapshot
Intelligent Warehouse Robot Path Planning Based on Improved Ant Colony Algorithm
inferredcites →https://doi.org/10.1109/jiot.2023.3324963openalex-snapshot
Path Planning for Heterogeneous UAVs With Radar Sensors
inferredcites →https://doi.org/10.1109/jiot.2024.3487129openalex-snapshot
Improving Deep Q Network Based on Marketing Psychology for AUV Path Planning in Unknown Marine Environments
inferredcites →https://doi.org/10.1109/taes.2024.3496417openalex-snapshot
A Motion Camouflage-Inspired Path Planning Method for UAVs Based on Reinforcement Learning
inferredcites →https://doi.org/10.1109/tcds.2019.2928820openalex-snapshot
BND*-DDQN: Learn to Steer Autonomously Through Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tits.2023.3250756openalex-snapshot
Collaborative Motion Planning Based on the Improved Ant Colony Algorithm for Multiple Autonomous Vehicles
inferredcites →https://doi.org/10.1109/tits.2025.3588228openalex-snapshot
Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach
inferredcites →https://doi.org/10.1145/3737280openalex-snapshot
Comprehensive Review of Path Planning Techniques for Unmanned Aerial Vehicles (UAVs)
inferredcites →https://doi.org/10.3390/drones9040246openalex-snapshot
Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning
inferredcites →https://doi.org/10.3390/drones9050376openalex-snapshot
Advances in UAV Path Planning: A Comprehensive Review of Methods, Challenges, and Future Directions
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