Posts
2023
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning
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A paper
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
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A paper
Beam Trajectory Control with Lattice-agnostic Reinforcement Learning
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A paper