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on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several research focuses are considered: verification pathways in RLMPC
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research focuses are considered: verification pathways in RLMPC, risk management with RLMPC, sample efficiency and optimized exploration, latent state and belief state embedding in RLMPC. Are you motivated
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will also design and develop new software and prototype models. Research areas: Computer science, Simulation-based automated synthesis and verification of human physiology models, Artificial intelligence
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obtained and documented before starting the position, and no later than autumn 2026. You must have strong modelling and programing skills in software such as Matlab/Simulink, PSCAD, OPAL-RT, etc., relevant
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obtained and documented before starting the position, and no later than autumn 2026. You must have strong modelling and programing skills in software such as Matlab/Simulink, PSCAD, OPAL-RT, etc., relevant