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FIGURE 10: The USV navigation model inference of improved DDPG algorithm: (a)–(d) the model inference in the sparse obstacle scene; (e)–(h) the model inference in the dense obstacle scene.

Journal: Journal of Robotics

Article Title: Robust Strategy Generation for Automatic Navigation of Unmanned Surface Vehicles through Improved DDPG Algorithm

doi: 10.1155/2024/7328944

Figure Lengend Snippet: FIGURE 10: The USV navigation model inference of improved DDPG algorithm: (a)–(d) the model inference in the sparse obstacle scene; (e)–(h) the model inference in the dense obstacle scene.

Article Snippet: DeepMind presents the deep deterministic policy gradient (DDPG) algorithm [12], which integrates deterministic policy gradient algorithm [13] and empirical playback techniques to achieve superior performance in continuous action spaces, which expands DRL application scenarios and allows agents and robots to be applied to a wider range of real-world problems.

Techniques: