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Sang-il Yoon

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Open access Aug 2026

Towards Non-defective Injection Molding: Reinforcement Learning with an Anomaly Detection–based Environment

This study investigates reinforcement learning (RL) as a means of supporting process optimization in injection molding by constructing an environmental model that reflects the severe class imbalance and the requirement for continuous control.

Daeyoung Kang, Keonwoo Nam, Seongrae Kim et al. · 0 citations

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