Target detection and distribution method and device based on multi-agent reinforcement learning

Abstract

The invention relates to a target detection and distribution method and device based on multi-agent reinforcement learning. The method comprises the following steps: constructing a combat behavior model and a reinforcement learning training environment; adopting a reinforcement learning training environment to train the combat behavior model until the model converges to acquire an artificial intelligence behavior model; and training the artificial intelligence behavior model by adopting a combat simulation engine, and outputting an optimization model. The reinforcement learning algorithm MADDPG is integrated into the weapon deduction system, a simulation environment from simple to complex is constructed, the convergence rate of reinforcement learning is optimized, and the problem of optimization of the convergence rate of an intelligent agent in the weapon deduction system is effectively solved.

Description

technical field [0001] The invention belongs to the technical field of simulation and simulation, and in particular relates to a target detection and allocation method and device based on multi-agent reinforcement learning. Background technique [0002] With the development of artificial intelligence, the era of relying on humans to research tactics and formulate military plans is gradually passing away. In the past, in the process of computer application in war game simulation, people rely on differential equations and war theory to effectively simulate the process of war, which greatly improves the combat level of the army. Today, the application of artificial intelligence in wargaming will play an even more important role. The ability of multi-agent-based modeling to describe complex systems and the ability to model behavior in dynamic environments has advantages over traditional modeling methods. The emergence of multi-agent systems provides a new platform for the furt...

AI Technical Summary

Problems solved by technology

[0005] In view of this, the purpose of the present invention is to overcome the deficiencies of the prior art and provide a method and device for target detection and assignment based on multi-agent reinforcement learning to solve the problem of optimizing the convergence speed of the combat behavior model in the war game deduction system in the prior art. slow problem

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