Trustworthy RL for Real-World Tree Search & Robust Planning

11 set - Italia
Italian Ministry of Education, University and Research

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.
Si candidi ora: legga i dettagli del lavoro scorrendo verso il basso. Verifichi di possedere le competenze necessarie prima di inviare la candidatura.
The role requires a Master’s degree and a strong research background.

Successful candidates will design tree-based models, work on time-series xysqume representations, and develop efficient, scalable pipelines for processing large data and simulations, with

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