基于强化学习的模型预测控制方法，本文所做的代码是基于“Reinforcement Learning-Based Model Predictive Control for Discrete-Time Systems”，发布于IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 35, NO. 3, MARCH 2024。
SFC安全走廊构建 论文Planning Dynamically Feasible Trajectories for Quadrotors using Safe Flight Corridors in 3-D Complex
多面体通行走廊构建，Planning Dynamically Feasible Traj for Quadrotors using Safe Flight Corridors in 3-D Clx Env
paper: A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization
