Research on Small ROV Reinforcement Learning Algorithm Integrating Supervised Learning
Firstly,a brief introduction was given to the existing ROV motion control algorithms,and the basic principles of the DDPG algorithm in deep reinforcement learning algorithms were explained;Then,a supervised DDPG algorithm based on fusion supervised learning is proposed to address the problems of"long learning time and difficulty in convergence,resulting in a large amount of data waste and increased storage overhead,reducing the generalization ability of neural networks and resulting in reduced practicality"when applying the DDPG algorithm to ROV motion control;Finally,simulation experiments were conducted,and the results showed that the improved DDPG algorithm is more effective than the conventional DDPG algorithm.
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