Firepower resource allocation method and device based on reinforcement learning, and storage medium

The invention provides a firepower resource allocation method and device based on reinforcement learning and a storage medium, and the method comprises the steps: defining firepower resource allocation elements, and constructing a firepower resource cost-effectiveness ratio objective function under a firepower resource allocation constraint model according to the firepower resource allocation elements; analyzing historical data of the firepower resource allocation scheme, and establishing a solution set space for the firepower resource allocation scheme under the constraint of the firepower resource allocation constraint model; taking an allocation scheme in the solution set space as a state, taking transfer among different states as a path, constructing a reward function by using a target function of the cost-effectiveness ratio and a damage requirement on a target, and continuously iterating through a Q-learning algorithm to obtain an optimal path of a firepower resource allocation scheme; and when the same