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Field
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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experience in the following fields. Cyber-physical modelling and simulation Digital Twins Autonomous Agents and Multi-Agent Systems Machine Learning and MLOps Probability & Statistics incl. Python/R Place of
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: Springer, 2011, pp. 34–48. doi: 10.1007/978-3-642-23808-6_3. [4] C. F. Hayes et al., ‘A practical guide to multi-objective reinforcement learning and planning’, Auton. Agents Multi-Agent Syst., vol
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of the PhD student based at CWI in Amsterdam will study integrated hydrogen-electricity markets. In particular techniques from Artificial Intelligence and multi-agent systems for modelling new types of markets
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, flexibility, and adaptability of autonomous systems. Address multi-agent operations, where interactions between agents are intricate and interconnected. Ensure that the develop methodologies provide
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of
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new conversational AI models, based on recent foundation models. The key research question is how these state-of-the-art language models (including multi-modal versions) can be leveraged and adapted
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of responsible human-AI collaboration. The successful candidate will become a member of the Multi-Agent Systems Group, Artificial Intelligence Department and will work under the supervision of Dr. Jakob Schoeffer