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Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches.

, , and . INDIN, page 233-238. IEEE, (2019)

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PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies., , , and . IEEE Trans. Cybern., 53 (9): 5424-5435 (September 2023)An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation., , , and . INDIN, page 194-199. IEEE, (2017)Potential Game based Distributed Optimization of Modular Production Units., , , and . INDIN, page 106-111. IEEE, (2019)On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning., , and . IEEE Conf. on Intelligent Systems, page 147-154. IEEE, (2018)System reconfiguration of modular production units using a SOA-based control structure., , and . INDIN, page 121-126. IEEE, (2017)Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning., , , and . Comput. Chem. Eng., (2021)The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization., , and . INDIN, page 335-340. IEEE, (2022)Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach., , and . IEEE Trans. Cybern., 52 (4): 2174-2185 (2022)Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach., , , and . IEEE Conf. on Intelligent Systems, page 31-38. IEEE, (2018)Maschinelle Lernalgorithmen zur Selbstoptimierung in verteilten Produktionssystemen basierend auf spieltheoretischen Konzepten.. University of Duisburg-Essen, Germany, (2021)