"schlably: A Python framework for deep reinforcement learning based ..."

Constantin Waubert de Puiseau et al. (2023)

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DOI: 10.1016/J.SOFTX.2023.101383

access: open

type: Journal Article

metadata version: 2024-02-05

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Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus, Hasan Tercan, Tobias Meisen:
schlably: A Python framework for deep reinforcement learning based scheduling experiments. SoftwareX 22: 101383 (2023)

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