Study of intelligent game adversarial algorithms and their applications in the intelligence field

Intelligent game adversarial algorithms not only make full use of the portrayal accuracy of the game model, but also solve the equilibrium solution through the powerful computational ability of neural network and the trial-and-error mechanism of reinforcement learning, which makes the intelligent game adversarial algorithms achieve good results in many fields. Through the multi-intelligence body game learning, multi-intelligence body game reinforcement learning and multi-intelligence body game deep reinforcement learning three levels of intelligent game confrontation algorithm is systematically sorted out, and the corresponding mapping with the intelligence field of work, demonstrates the feasibility and necessity of intelligent game confrontation algorithm in the field of intelligence, and finally gives the specific application of the intelligent game confrontation algorithm in the field of intelligence and the effective measures of the follow-up to improve the quality and efficiency. Finally, it gives the specific application of intelligent game confrontation algorithm in the field of intelligence, as well as the effective measures to improve the quality and efficiency.