Mostafa Jalalnezhad

A Reinforcement Learning-Based Robust Path Tracking Controller for Nonlinear Mobile Robot Dynamics under Uncertainty

The results demonstrate that combining reinforcement learning with control-oriented reward shaping, action smoothing, and Lipschitz-constrained policy design can provide an effective framework for robust nonlinear vehicle path tracking.