Publications

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1. Alexis T. Bernhard; Simon Jungbluth; Ali Karnoub; Aleksandr Sidorenko; William Motsch; Achim Wagner; Martin Ruskowski

   I4.0 Holonic Multi-agent Testbed Enabling Shared Production

   In: John Soldatos (Hrsg.). Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI. Chapter …

2. Jens Popper; William Motsch; Alexander David; Teresa Petzsche; Martin Ruskowski (Hrsg.)

   Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints

   International Conference on Electrical, Computer, Communications and Mechatronics Engineering, located at 2021 International Conference on Electrical, …

3. Jens Popper; Vassilios Yfantis; Martin Ruskowski (Hrsg.)

   Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning

   CIRP Conference on Manufactoring Systems (CIRP CMS-2021), 54th CIRP Conference on Manufacturing Systems, 2021, located at CIRP, September 22-24, …

4. Jens Popper; Martin Ruskowski

   Using Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Problems

   In: Roberto Teti; Doriana M. D'Addona (Hrsg.). CIRP Proceedings. CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), …

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