Operational data such as torque, vibration, and temperature are vital for refining machine design and predicting failure modes. Feedback from real-world machines reduces over-engineering, cuts costs, ...
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 ...
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