Announcements

From 5 to 7 February 2024, IDA Lab at the Paris Lodron University of Salzburg kindly hosted the RL4AA community for the 2nd workshop on Reinforcement Learning for Autonomous Accelerators (RL4AA'24). With over 50 participants from more than 10 different countries, we are excited to see that our community is growing and that the interest in reinforcement learning (for particle accelerators) is increasing. In a total of 19 talks, we got to hear about the latest developments and impressive results in the field....

The call for abstracts for the RL4AA'24 workshop, taking place 05 - 07 February 2024 in Salzburg, Austria, has been extended. Register for the workshop and submit your abstract until 5 January 2024! We are also excited to announce our keynote speakers: Antonin Raffin (German Aerospace Center) Felix Berkenkamp (Bosch Center for AI) For more information on the workshop, please see the official workshop website: https://rl4aa.github.io/RL4AA24/ To get directly to registration, please visit: https://indico....

Announcing RL4AA'24 - Registration is open! Following up on the very successful RL4AA'23 workshop in Karlsruhe earlier this year, we are excited to announce the 2nd RL4AA workshop RL4AA'24, which will be held in Salzburg, Austria, from 05 - 07 February 2024. The workshop will be hosted at the Paris Lodron University of Salzburg. We are looking forward to an exciting workshop with many interesting talks and discussions on reinforcement learning for autonomous particle accelerators and hope to see you all in Salzburg!...

Good News! The RL4AA community is happy to announce its Discord server! If you are interested in discussing reinforcement learning applied to accelerators, please join for announcements (e.g. new publications), forum discussions, an open chat, and meeting rooms. Hope to see you there! https://discord.gg/QtBMqsjWH2

Good News - save the date! Our first workshop, RL4AA 2023, was very successful. Because of this, we are hoping to hold the 2nd RL4AA workshop in spring 2024 in Salzburg, Austria in 05 - 07 February 2024. Further details will follow soon.

Reinforcement learning is the most difficult learning paradigms to understand and to efficiently use, but it holds a lot of promise in the field of accelerator physics. The applications of reinforcement learning to accelerators today are not very numerous yet, but the interest of the community is growing considerably. This is how the 1st collaboration workshop on Reinforcement Learning for Autonomous Accelerators (RL4AA'23) came to be! The AI4Accelerators team organized and hosted the workshop at KIT, gathering colleagues involved in reinforcement learning....