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Optimizing Injection Molding Parameters Using Reinforcement Learning with Prior Knowledge

Finding the right injection molding settings for new products often demands significant time and cost. This study introduces a reinforcement learning method that uses prior knowledge to speed up optimization. An actor-critic algorithm was applied to refine both the filling and holding phases. Tests on five different products showed that settings learned

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