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developing learning-based model predictive control algorithms in simulation. Experience in multi-agent robotic systems, drone swarms, or autonomous decision making. Experience in integrating prediction
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
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: Experience with agent-based modelling, network modelling, dynamic systems, spatial interaction models, activity-based travel modelling, transport simulation, or digital twins. Experience with
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] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference on Electronic Commerce.” Accessed September 10, 2021. https://dl-acm
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] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference on Electronic Commerce.” Accessed September 10, 2021. https://dl-acm
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synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative
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-academic partners will train 15 DCs in cutting-edge methods, theory, and transferable skills to improve crisis preparedness using agent-based social simulation and complementary methods. The current
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non-academic partners that will train 15 DCs in cutting-edge methods, theory, and transferable skills to improve crisis preparedness using agent-based social simulation and complementary methods. The
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SD-26140- RESEARCH ENGINEER — GEOSPATIAL SOFTWARE, GEOAI AND DIGITAL TWINS FOR SUSTAINABLE TERRIT...
models. · Experience or demonstrated interest in LLM applications, AI-assisted access to trusted data, tool calling or agent-based workflows, ideally with attention to evaluation, explainability