As a critical radiological facility, the International Fusion Materials Irradiation Facility - DEMO Oriented Neutron Source (IFMIF-DONES) will implement effective measures to ensure the safety of its personnel and the environment. To enable the proper implementation of these measures, the ISO 17873 standard has been adopted throughout the design process of the facility. The proposed dynamic...
Noisy intermediate-scale quantum (NISQ) computers work by applying a set of quantum gates to an initial ground state, to transform it into a final state that represents the solution to complex computational problems, such as molecular energy evaluation or optimising for the shortest routes in the travelling salesman problem. The effective realisation of NISQ computers requires the...
In typical reinforcement learning applications for accelerators, system dynamics often vary, leading to
decreased performance in trained agents. In certain scenarios, this performance degradation is severe,
necessitating retraining. However, employing meta-reinforcement learning in conjunction with an
appropriate simulation can enable an agent to rapidly adapt to environmental changes. This...
Reinforcement Learning (RL) is emerging as a valuable method for controlling and optimizing particle accelerators, learning through direct experience without a pre-existing model. However, its low sample efficiency limits its application in real-world scenarios. This paper introduces a model-based RL approach using Gaussian processes to address this efficiency challenge. The proposed RL agent...