A Mini Review on the utilization of Reinforcement Learning with OPC UA

Stochastic calculus-guided reinforcement learning: A probabilistic framework for optimal decision-making

“…Despite standardized interfaces being the missing link for the real-life deployment of the RL, some already promising results exist within the frame of controlling and optimizing complex industrial processes [ 1 ]. Reinforcement learning algorithms using neural networks have demonstrated transformational learning capabilities from pixels to speed-accuracy tradeoffs in high-dimensional settings [ 2 ].…”