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Hands-on Reinforcement Learning ICSC 2025

Project information

Repository intended for a hands-on exercise at the Inverted Cern School of Computing 2025. In this project, the users will get to define their own environment in which they can train a Reinforcement Learning agent to optimize a longitudinal RF splitting in a simulated Proton Synchrotron.

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Created on

March 12, 2025

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