Trustworthy Rl For Real-World Tree Search & Robust Planning

01 set - Lazio
Altro

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

SALES ACCOUNT & SPONSORSHIP MANAGER

05 set - Siena
Festival del Calcio Italiano

Junior After Sales Engineer - Internship

05 set - Torino
Sit

Ricevi nuove offerte di lavoro

Crea una Job Alert gratuita per trustworthy rl for real-world tree search & robust planning / lazio

MECHANICAL CAD DESIGN ENGINEER - AVIATION DOMAIN

05 set - Torino
Quest Global

HR Generalist L. 68/99...

05 set - Ostiglia
Adecco