Deep reinforcement learning for accurate trajectory tracking in 2-DOF helicopter dynamics using twin delayed DDPG
This paper presents an advanced deep reinforcement learning (DRL) framework for precise trajectory tracking control of an underactuated 2-degree-of-freedom (2-DOF) helicopter system using the twin delayed deep deterministic policy gradient (TD3) algorithm. The 2-DOF helicopter serves as a benchmark for nonlinear, coupl...