most citedschlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments

9 citations · 9 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 9 cited

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

Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus +2

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 schedu…