Local 2-D Path Planning of Unmanned Underwater Vehicles in Continuous Action Space Based on the Twin-Delayed Deep Deterministic Policy Gradient
Author:
Affiliation:
1. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China
2. Logistics Engineering College, Shanghai Maritime University, Shanghai, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6221021/10500880/10412178.pdf?arnumber=10412178
Reference51 articles.
1. Double-Loop Integral Terminal Sliding Mode Tracking Control for UUVs With Adaptive Dynamic Compensation of Uncertainties and Disturbances
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3. Bio-inspired Neural Network-based Optimal Path Planning for UUVs under the Effect of Ocean Currents
4. AUV path planning: an A* approach to path planning with consideration of variable vehicle speeds and multiple, overlapping, time-dependent exclusion zones
5. Application of improved Dijkstra algorithm in intelligent ship path planning
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1. A DRL-based path planning method for wheeled mobile robots in unknown environments;Computers and Electrical Engineering;2024-09
2. Autonomous Underwater Vehicle Path Planning Based on Improved Salp Swarm Algorithm;Journal of Marine Science and Engineering;2024-08-21
3. Cooperative motion planning and control of a group of autonomous underwater vehicles using twin-delayed deep deterministic policy gradient;Applied Ocean Research;2024-06
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