A framework comparing RL agents and Bayesian optimization methods on simulated accelerator tuning tasks. Used in the DESY study “RL vs BO for online accelerator tuning” (arXiv:2306.03739). Repository: github.com/desy-ml/rl-vs-bo
DESY rl-vs-bo
Benchmark comparing reinforcement learning and Bayesian optimization for accelerator tuning