基于改进DQN算法的海上搜救路径规划方法OA

To address the challenges associated with search and rescue strategies and path planning for multiple task points in the complex marine environment,this paper proposes a maritime search and rescue path planning method based on improved DQN algorithm.The algorithm constructs a multi-objective reward function that integrates indicators such as path length,task completion timeliness,and environmental safety.Additionally,it can improve the stability of path decision-making and balance exploration and utilization during training based on the classical DQN framework.The experimental results demonstrate that the proposed algo-rithm can plan more efficient maritime multi-task point search and rescue paths during training,exhibiting good convergence,sta-bility,and efficiency,thereby supporting the stable and effective execution of maritime search and rescue missions.