Oliver Stein

Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training

In recent work, it has been shown that reinforcement learning (RL) is capable of solving a variety of problems at sometimes super-human performance levels. But despite continued advances in the field, applying RL to complex real-world control and optimisation problems has proven difficult. In this c…