Author

Firas Saidi

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Open access Jul 2026

Deep reinforcement learning for accurate trajectory tracking in 2-DOF helicopter dynamics using twin delayed DDPG

Comprehensive simulations conducted in a MATLAB/Simulink environment demonstrate the superior performance of the proposed TD3 controller compared to classical and intelligent approaches, including proportional-integral-derivative (PID), fuzzy PD + I, and fuzzy PD + FF controllers.

Zied Ben Hazem, Muhammed Özdemir, Firas Saidi et al. · Discover Robotics · 5 citations

Aug 2026

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

NEXUS-DQN★ is proposed, a novel Deep Reinforcement Learning framework that formulates intrusion detection as a sequential decision-making problem within a Markov Decision Process (MDP) and enhances the conventional Deep Q-Network by integrating Noisy Linear Layers (NLL) for efficient exploration and an intrusion-aware...

Firas Saidi · Cluster Computing · 0 citations