Reinforcement Learning for Real-Time Control Using Quanser Platforms: A Structured Narrative Review
Reinforcement learning (RL) is increasingly used for real-time control of complex dynamical systems, but its practical performance must be evaluated under hardware constraints that are often simplified in simulation. This paper presents a comprehensive review of published RL-based control studies using the Quanser Aero...