5 citations · 8 across the 6 of their papers we have counts for
4 papers · 1 filter
Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games
Steve Yuwono, Ahmar Kamal Hussain, Dorothea Schwung +1
In this study, we introduce Modular State-based Stackelberg Games (Mod-SbSG), a novel game structure developed for distributed self-learning in modular manufacturing systems. Mod-S…
Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems
Steve Yuwono, Dorothea Schwung, Andreas Schwung
This article describes a novel game structure for autonomously optimizing decentralized manufacturing systems with multi-objective optimization challenges, namely Distributed Stack…
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems
Steve Yuwono, Dorothea Schwung, Andreas Schwung
This paper presents a novel online transfer learning approach in state-based potential games (TL-SbPGs) for distributed self-optimization in manufacturing systems. The approach tar…
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…