Key technologies of operational concept capability requirement analysis based on deep reinforcement learning

Based on the formal description of the operational concept capability requirement analysis, a method of operational concept capability requirement analysis based on DRL(deep reinforcement learning) is designed. The key technologies of this method, such as simulation experiment, surrogate model, reinforcement learning, are analyzed and studied. Through the implementation of key technologies,small sample data sets with high reliability can be obtained through simulation experiments; Based on the experience data, the surrogate model of operation concept is constructed, and the model is optimized and trained by using multi-objective optimization algorithm with the high credibility simulation data set as the input; Finally, the surrogate model obtained from the training and the DRL framework are interactively optimized to achieve the reverse exploration of the operational concept capability requirements.