  Synchrotron light source storage rings aim to maintain a continuous beam
current without observable beam motion during injection. One element that paves
the way to this target is the non-linear kicker (NLK). The field distribution
it generates poses challenges for optimising the topping-up operation. Within
this study, a reinforcement learning agent was developed and trained to
optimise the NLK operation parameters. We present the models employed, the
optimisation process, and the achieved results.
