Trustworthy Rl For Real-World Tree Search & Robust Planning (Egna)

Trustworthy Rl For Real-World Tree Search & Robust Planning (Egna)

03 set
|
Italian Ministry of Education, University and Research
|
Egna

03 set

Italian Ministry of Education, University and Research

Egna

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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📌 Trustworthy Rl For Real-World Tree Search & Robust Planning (Egna)
🏢 Italian Ministry of Education, University and Research
📍 Egna

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