RL for Hybrid Building Energy Systems Control
The University of Verona invites applications for a research position in Engineering, focusing on developing and validating reinforcement learning methods for the adaptive and multi-objective control of hybrid building energy systems. The project will develop an RL-based supervisory framework and use realistic simulations and data for offline training, sim-to-real transfer, and safe online adaptation.
Eligibility requires a Master’s Degree in Artificial Intelligence (within six years), a
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Eligibility requires a Master’s Degree in Artificial Intelligence (within six years), a
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