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: A Python framework for deep reinforcement learning based scheduling experiments.
Constantin Waubert de Puiseau
Jannik Peters
Christian Dörpelkus
Hasan Tercan
Tobias Meisen
Published in:
SoftwareX (2023)
Keyphrases
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reinforcement learning
main contribution
dynamic programming
learning process
probabilistic model
open source
neural network
learning algorithm
state space
scheduling problem
lightweight
conceptual framework