Ultra high speed piercing up to. (19mm) and a gas optimization system enable the NC controller to cut different thicknesses of material without operator intervention.
将强化学习的理论和方法应用于JLQ模型,设计基于Q函数的策略迭代算法,以优化系统性能。
Reinforcement learning theory and approaches are applied to JLQ model and Q function-based policy iteration algorithm is designed to optimize system performance.