Research on Deep Reinforcement Learning Exploration Strategy in Wargame Deduction

Abstract

The wargame deduction is the application of wargame. It refers to the use of boards and wargame pieces representing the battlefield and its military power, or based on the virtual battlefield environment and force of the computer, based on military rules and probability theory, simulating war confrontation. The process deduction and evaluation optimization of the combat plan is an activity that uses wargame to simulate war and is a tool for combat simulation. In this paper, the actual or assumed situation is used to simulate the military actions of two or more opposing parties. The deep reinforcement learning and exploration strategy is used to improve the realistic function of the wargame simulation and the deductive pushability function, and systematically study the wargame technology. Advancing operational decision-making and military training has certain practical and strategic significance.