We are pleased to announce RL4AA'26, the fourth workshop of the series organised by the Reinforcement Learning for Autonomous Accelerators (RL4AA) Collaboration. After three successful workshops (KIT in 2023, Salzburg in 2024, and DESY in 2025) RL4AA'26 will be hosted in 2026 as a LIV.INNO Workshop by the University of Liverpool and Cockcroft Institute in the musically iconic port city of Liverpool.
RL4AA brings together the reinforcement learning and accelerator physics communities to share results, practical insights from the field, and the big questions ahead for real-world RL. Expect engaging keynotes, invited and contributed talks, a lively poster session, and a hands-on coding challenge.
Scope
Submissions are not limited to particle accelerators. We welcome any work on sequential decision-making in real-world settings (e.g., safety, sample efficiency, sim-to-real, partial observability). A set of student talk slots will be reserved.
Coding challenge
Join a team to tackle an accelerator-themed RL task. We will form balanced teams that mix newer folks and experienced contributors. You’ll submit results to a live Kaggle leaderboard as you go, improve your model, and we will wrap with awards for the top three teams
Who should attend
Whether you are deep into RL research or just starting and curious, there’s something for you (from introductory lectures the first day to advanced talks).
Registration
The event is free, but places are limited. Please register early to secure your spot.
We can’t wait to welcome you to Liverpool in 2026!
