2nd collaboration workshop on Reinforcement Learning for Autonomous Accelerators (RL4AA'24)

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Sessions*

Discussion on advanced RL topics

Workshop dinner

Open discussion

Open discussion: preparation of advanced topics

Meet & greet speed talks

Introduction to RL workshop

Meet & greet

Break

Tour of the accelerator facilities

Main

Social Events

RL Crash Course

Keynote

Registration & Arrival

Student Session

Invited Talks

Contributed Talks

Group Photo

Tutorial

Posters

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Contributions*

Adaptive X-ray Fluorescence Imaging (in session "Contributed Talks")

Applying Reinforcement Learning to IFMIF-DONES HVAC optimisation (in session "Student Session")

Comparing Q-Learning of Single-Agent and Multi-Agent Reinforcement Learning (in session "Student Session")

Considerations on Reinforcement Learning feasibility for the automatic setup of controlled longitudinal emittance blow-up in the CERN SPS (in session "Contributed Talks")

Designing and Running Real-World RL Experiments (in session "Keynote")

Enhancing Autonomy of Unmanned Surface Vehicles through Integrated Perception and Control (in session "Student Session")

Explainability in Reinforcement Learning: An Application for Powertrain Control (in session "Contributed Talks")

Exploring the Dynamics of Reinforcement Learning in Aerospace Control (in session "Student Session")

ML applications at BESSY (in session "Invited Talks")

Optimising non-linear Injection using Reinforcement Learning (in session "Student Session")

Optimization and Control at DESY - RL and Beyond (in session "Invited Talks")

Optimization at the GSI/FAIR accelerator facility (in session "Invited Talks")

Practical Microsecond Real-Time Reinforcement Learning (in session "Contributed Talks")

Quantum annealing for sample-efficient reinforcement learning (in session "Contributed Talks")

Real-time control with reinforcement learning at KARA (in session "Invited Talks")

Reinforcement Learning for CERN's accelerators (in session "Invited Talks")

Reinforcement Learning for FLASH Dose Delivery Optimization (in session "Contributed Talks")

RL Activities Overview at SLAC (preliminary title) (in session "Invited Talks")

RL Crash Course and Question Round (in session "RL Crash Course")

Robustly Safe Bayesian Optimization (in session "Student Session")

Towards real-world RL (in session "Keynote")

Utilizing Machine Learning-optimized Piecewise Polynomial Models in Mechatronics (in session "Student Session")

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Events scheduled on*

2/5/24

2/6/24

2/7/24

Include materials from sessions/contributions scheduled on the selected dates