Trustworthy RL for Real-World Tree Search

07 set - Roma
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Università degli Studi di Verona invites applications for a research position focusing on trustworthy reinforcement learning methods for real-world systems, emphasizing planning and tree-search approaches, including Monte Carlo Tree Search. The role requires a Master’s degree and a strong research background.
Successful candidates will design tree-based models, work on time-series representations, and develop efficient, scalable pipelines for processing large data and simulations, with
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