Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control

ArXi:2603.15180v1 Announce Type: cross A significant limitation of Deep Reinforcement Learning (DRL) is the stochastic uncertainty in actions generated during exploration-exploitation, which poses substantial safety risks during both