More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Reinforcement learning (RL) represents a paradigm shift in process control, offering adaptive and data‐driven strategies for the management and optimisation of complex industrial processes. By ...

Iterative Learning Control (ILC) has emerged as a robust and adaptive technique for addressing the intricate challenges posed by nonlinear systems. By capitalising on ...

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

ADELPHI, Md. -- Army researchers developed a reinforcement learning approach that will allow swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing ...

Most CPG brands, distributors, outlet stores, and other participants in the supply chain have already seen the need for a supply chain control center. Effective management of the various moving pieces ...

QuantrolOx, a new startup that was spun out of Oxford University last year, wants to use machine learning to control qubits inside of quantum computers. The company, which was co-founded by Oxford ...