RL-ABC: Reinforcement learning for accelerator beamline control
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 int...
Anwar Ibrahim, Fedor Ratnikov, Maxim Kaledin et al.
· Mendeley Data · 0 citations