schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments

1 code implementation • 10 Jan 2023 • Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus, Hasan Tercan, Tobias Meisen

Research on deep reinforcement learning (DRL) based production scheduling (PS) has gained a lot of attention in recent years, primarily due to the high demand for optimizing scheduling problems in diverse industry settings.

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