Also, it can enrich the machine learning-based dataset for retraining. To this purpose, we provide a framework based on reinforcement ... original semantics. We use Q-learning and proximal policy ...

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Abstract: Recently, deep reinforcement learning (DRL) has been applied to learn priority dispatching rules (PDRs) for solving complex scheduling problems. However, the existing works face challenges ...