Research on gaming strategy of coal high-quality development based on machine learning

In this study, a government-enterprise-public tripartite game model is constructed, and differential game theory is applied to analyse the evolutionary mechanism of multi-body decision-making in the high-quality development of coal industry. The improved multi-intelligence deep reinforcement learning algorithm (MADDPG-A) based on the attention mechanism is used to solve the optimal strategy combination. Empirical analyses are conducted in the coal industry of Shanxi province, and the results show that government R&D subsidies and enterprise innovation investment are the key influencing factors. The optimal strategy improves the high-quality development index by 32.7% and reduces pollution by 28.5%, providing decision support and methodology for the high-quality development of the coal industry.