RL-ABC: Reinforcement Learning for Accelerator Beamline Control
DGX agentarXiv:2604.19146v1 Announce Type: new Abstract: Particle accelerator beamline optimization is a high-dimensional control problem traditionally requiring significant expert intervention. We present RLA