Trustworthy RL for Real-World Tree Search & Robust Planning
Italian Ministry of Education, University and Research ·
Candidati sul sito partner
Ti candidi sul sito dell'inserzionista — qui non viene salvato nulla.
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. 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
Candidati sul sito partner
Annuncio fornito da uno dei nostri portali partner. Ultima verifica: 14 ore fa.
Altre offerte con questo titolo
Trustworthy RL for Real-World Tree Search & Robust Planning
Altro · 3 giorni fa
Trustworthy RL for Real-World Tree Search & Robust Planning
Italian Ministry of Education, University and Research · 1 settimana fa
IdR61/26 - Trustworthy reinforcement learning: development of efficient tree search methods for real-world systems
Italian Ministry of Education, University and Research · 3 giorni fa
IdR61/26 - Trustworthy reinforcement learning: development of efficient tree search methods for real-world systems
Italian Ministry of Education, University and Research · 1 settimana fa
IdR61/26 - Trustworthy reinforcement learning: development of efficient tree search methods for real
Altro · 3 giorni fa
IdR61/26 - Trustworthy reinforcement learning: development of efficient tree search methods for real
Altro · 4 giorni fa
Senior Real World Evidence Specialist
VIVISOL · 1 giorno fa
AI Data Scout — Real-World Image Collector
Altro · 4 giorni fa