Dataset for unmanned vessel search tasks in deep reinforcement learning algorithms

This dataset contains position coordinates of unmanned vessels obtained by tracking using an autonomous anti-interference algorithm during search-and-planning tasks performed by deep reinforcement learning algorithms based on the TDDPG_PPO architecture;The experiments were conducted in April 2026.The data was sourced from differential positioning sensors mounted on the unmanned vessels.The labels indicate the positions of each unmanned vessel.The data contains errors of less than 0.1 m, primarily due to limitations in sensor accuracy.