Design and performance improvement of virtual reality training simulator based on deep reinforcement learning

With the rapid development of information technology and artificial intelligence, the application of virtual reality (VR) and reinforcement learning (RL) in education and training has attracted more and more attention. First, this study systematically reviews the latest progress of VR and RL in the field of education and training through literature review. Then, a virtual reality training model based on reinforcement learning is constructed, and the model is verified and evaluated in detail. On the basis of the model training results, the model testing and performance evaluation are further carried out, and the performance of different models is compared. This study not only provides a highly adaptive and personalized training model combining VR and RL, but also verifies its effectiveness in improving education and training results through experiments.