AI RESEARCH
RL-ABC: Reinforcement Learning for Accelerator Beamline Control
arXiv CS.LG
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ArXi:2604.19146v1 Announce Type: new Particle accelerator beamline optimization is a high-dimensional control problem traditionally requiring significant expert intervention. We present RLABC (Reinforcement Learning for Accelerator Beamline Control), an open-source Python framework that automatically transforms standard Elegant beamline configurations into reinforcement learning environments.