Morteza Mirzaee

Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning

Abstract Non-stationary environments pose significant challenges for reinforcement learning (RL), particularly in safety-critical applications like robotics and energy systems, where adaptability, stability, and robustness to uncertainty are essential. This paper introduces Lyapu...