no code implementations • 16 Oct 2020 • Xiaoying Pang, Sunil Thulasidasan, Larry Rybarcyk
We describe an approach to learning optimal control policies for a large, linear particle accelerator using deep reinforcement learning coupled with a high-fidelity physics engine.