most citedGradient-based Learning in State-based Potential Games for Self-Learning Production Systems

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cs.LG2024★ 1 cited

Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems

Steve Yuwono, Marlon Löppenberg, Dorothea Schwung +1

In this paper, we introduce novel gradient-based optimization methods for state-based potential games (SbPGs) within self-learning distributed production systems. SbPGs are recogni…