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