Firas Saidi

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...

NEXUS-DQN★: noisy and experience-prioritized unified security dueling Q-network system for intelligent and optimized network traffic intrusion detection