With the advent of the era of artificial intelligence, deep reinforcement learning (DRL) has achieved unprecedented success in high-dimensional and large-scale artificial intelligence tasks.However, the insecurity and instability of the DRL algorithm have an important impact on its performance.The Soft Actor-Critic (SAC) algorithm uses advanced fun
This paper investigates the asymptotic and oscillatory properties of a distinctive class of third-order linear differential equations characterized by multiple delays in a noncanonical case.Employing the comparative method and copyright tiki mug the Riccati method, we introduce the novel and rigorous criteria to discern whether the solutions of the
Wind power generation output is highly uncertain, since it entirely depends on intermittent environmental factors.This has brought a serious problem to the power industry regarding the management of power grids containing a significant penetration of wind power.Therefore, a highly accurate wind power forecast is very useful for operating these powe
This paper presents a hybrid-triggered catastrophe bond (CAT bond) pricing model.We take earthquake CAT bonds as an example for model construction and numerical analysis.According to the characteristics of earthquake disasters, we choose direct economic mr robot sticker loss and magnitude as trigger indicators.The marginal distributions of the two