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12:00 PM
Generalised Automatic Harmonic Operation in the CERN Proton Synchrotron Booster
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Joel Wulff
(CERN)
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12:00 PM
Reinforcement Learning Beyond Greedy Optimisation for Delayed-Consequence Accelerator Control
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Kajsa Miho Björkbom
(PLUS University Salzburg)
Simon Hirlaender
(PLUS University Salzburg)
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12:00 PM
Developing neural network based surrogate models for predicting laser accelerated proton energy spectra
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lana Buckleton
(University of strathclyde)
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12:00 PM
Autonomous beam flattening using reinforcement learning at the CLEAR facility at CERN
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Giacomo Tangari
(Sapienza University of Rome / CERN)
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12:00 PM
MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
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Elena Zamaraeva
(University of Manchester, Fusion21)
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12:00 PM
Batch spacing optimization at SPS injection by RL
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Matthias Remta
(CERN / University of Vienna)
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12:00 PM
Multi-Agent Reinforcement Learning for Resource Allocation in Wireless Network Communication
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Sabrina Pochaba
(Salzburg Research)
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12:00 PM
Koopman-Stabilised World Models for Offline Reinforcement Learning in Accelerator Control
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Simon Hirlaender
(PLUS University Salzburg)
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12:00 PM
Diagnosis and optimisation of laser pulse shaping for laser-plasma accelerators
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Emily Archer
(DESY)
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12:00 PM
Testing and Improving RL Policies via Rule Learning
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Ignacio D. Lopez-Miguel
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12:00 PM
Reinforcement Learning–Guided Dynamic Tuning of a THz Linac
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Filip Peczek
(The University of Manchester)
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12:00 PM
Reinforcement Learning combined with a surrogate model of the accelerator
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Daniele Zebele
(INFN)
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12:00 PM
Improving Trajectory Tracking in Reinforcement Learning by Augmenting States with Future Targets
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Georg Schäfer
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12:00 PM
Designing a Gated Recurrent Unit in the Versal AI Engines
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Michail Sapkas
(UniPD - INFN Padova)
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12:00 PM
Dreaming of Schottky Spectra: Building World Models for LEIR robust automation
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Borja Rodriguez Mateos
(CERN)
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12:00 PM
Crystal Channelling Optimisation in the LHC Using Reinforcement Learning
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Andrea Vella
(University of Malta)
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12:00 PM
Robust Real-Time Optimization of SIS18 Injection using Gaussian Process MPC
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Simon Hirlaender
(PLUS University Salzburg)
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12:00 PM
PIPELINES: A NODE-BASED EDITOR FOR STREAMLINED OPTIMISATION PROTOTYPING IN THE CONTROL ROOM
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Shaun Preston
(University of Oxford)
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12:00 PM
Leveraging Reinforcement Learning, Genetic Algorithms and Transformers for background determination in particle physics
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Guillermo Hijano Mendizabal
(University of Zurich)
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12:00 PM
Designing for Tunability and Feedback in the Muon EDM Experiment
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Johannes Alexander Jaeger
(ETH Zurich / Paul Scherrer Institut)
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12:00 PM
Causal GP-MPC: Where Structure, Safety, and Online Learning Meet for Robust Accelerator Control
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Simon Hirlaender
(IDA Lab, Paris Lodron University of Salzburg)
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12:00 PM
Towards a Training-Efficient Reinforcement Learning Based Control Approach for the LUMEN Engine Using Curriculum-Guided PPO
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Fabio Matanza
(University of Salzburg, B.Sc. AI Thesis (DLR, Institute of Space Propulsion & IDA Lab Salzburg))
Simon Hirlaender
(PLUS University Salzburg)
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12:00 PM
Extending Reinforcement Learning for Beam Steering with Bayesian Optimization and Online System Identification in the CERN SPS North Area
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Adrián Menor de Oñate
(CERN)
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12:00 PM
Geoff: Applications & Developments in 2025
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Penny Madysa
(GSI)
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12:00 PM
Automated tuning using RL trained on Cheetah simulation at DESY and building Cheetah simulation for ISIS virtual accelerator
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Raunakk Banerjee
(science and technology facilities council)
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12:00 PM
Online reinforcement learning control of beam collision for BEPCII
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Jiaqi Fan
(中国科学院高能物理研究所（IHEP）)
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12:00 PM
Resource-Conditioned Reinforcement Learning for Physics Instrument Design
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Sara Zoccheddu
(University of Zurich)
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12:00 PM
Agent-Based Simulation of Medical Device Redistribution in Crises with Reinforcement Learning
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Georg Weinberger
(University of Salzburg - Department of Geoinformatics (Z_GIS))
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12:00 PM
Autonomous Optimization of RF Triple Splitting in the CERN PS
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Joel Wulff
(CERN)
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12:00 PM
Binary Trigger Signals for Deep Reinforcement Learning in Equity Trading
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Juan Manuel Montoya Bayardo
Simon Hirländer
(Uni Salzburg)
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12:00 PM
ML-Based Phase Space Reconstruction for Loss Reduction at the PS-to-SPS Transfer
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Jake Flowerdew
(CERN)
