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Reinforcement Learning for Assembly Line Balancing Enhancement

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INESC TEC

The Reinforcement Learning for Assembly Line Balancing Enhancement is an application of a Neural Network trained with Reinforcement Learning method aimed to dynamically assign production resources to tasks in a production schedule during its execution.

AI4 Manufacturing Production | Optimizing overall productivity in the product line Production | Flexible Manufacturing Types Artificial Intelligence | Resource Technical Categories (JRC) Reasoning | Automated reasoning Planning | Planning and scheduling Programming Language Python Used in Project Used in AI REGIO Developed in Project Developed in AI REGIO Algorithm Machine Learning