Archives

2024¹

February¹

Successful RL4AA'24 workshop in Salzburg: Thanks everyone for joining!

February 16, 2024 · 339 words · RL4AA Collaboration

2023¹⁰

December¹

RL4AA'24 call for abstracts extended to 5 January. Exciting keynote speakers announced. Register now!

December 22, 2023 · 95 words · RL4AA Collaboration

August¹

Registration is now open for RL4AA'24 taking place 05 - 07 February 2024 in Salzburg, Austria

August 18, 2023 · 96 words · RL4AA Collaboration

June²

Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning

June 6, 2023 · 201 words · RL4AA Collaboration

The RL4AA Discord server is up!

June 2, 2023 · 44 words · RL4AA Collaboration

May²

Trend-Based SAC Beam Control Method with Zero-Shot in Superconducting Linear Accelerator

May 23, 2023 · 244 words · RL4AA Collaboration

Ultra fast reinforcement learning demonstrated at CERN AWAKE

May 1, 2023 · 233 words · RL4AA Collaboration

April³

The 2nd RL4AA workshop 2024 will be held 05 - 07 February 2024 in Salzburg

April 27, 2023 · 43 words · RL4AA Collaboration

Towards automatic setup of 18 MeV electron beamline using machine learning

April 27, 2023 · 189 words · RL4AA Collaboration

Orbit Correction Based on Improved Reinforcement Learning Algorithm

April 13, 2023 · 327 words · RL4AA Collaboration

February¹

RL4AA'23: 1st Collaboration Workshop on Reinforcement Learning for Autonomous Accelerators

February 21, 2023 · 188 words · RL4AA Collaboration

2022⁴

October¹

Optimizing a superconducting radio-frequency gun using deep reinforcement learning

October 28, 2022 · 157 words · RL4AA Collaboration

September¹

Application of reinforcement learning in the LHC tune feedback

September 7, 2022 · 168 words · RL4AA Collaboration

July¹

Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training

July 22, 2022 · 174 words · RL4AA Collaboration

June¹

Automated Intensity Optimisation Using Reinforcement Learning at LEIR

June 12, 2022 · 264 words · RL4AA Collaboration

2021⁸

November¹

Micro-Bunching Control at Electron Storage Rings with Reinforcement Learning

November 12, 2021 · 862 words · RL4AA Collaboration

October²

Real-time artificial intelligence for accelerator control: A study at the Fermilab Booster

October 18, 2021 · 194 words · RL4AA Collaboration

Test of Machine Learning at the CERN LINAC4

October 4, 2021 · 132 words · RL4AA Collaboration

September¹

Renovation of the beam-based feedback systems in the LHC

September 1, 2021 · 655 words · RL4AA Collaboration

May³

Accelerated Deep Reinforcement Learning for Fast Feedback of Beam Dynamics at KARA

May 27, 2021 · 260 words · RL4AA Collaboration

First Steps Toward an Autonomous Accelerator, A Common Project Between DESY and KIT

May 24, 2021 · 185 words · RL4AA Collaboration

Physics-Enhanced Reinforcement Learning for Optimal Control

May 21, 2021 · 110 words · RL4AA Collaboration

March¹

Feasibility Investigation on Several Reinforcement Learning Techniques to Improve the Performance of the FERMI Free-Electron Laser

March 18, 2021 · 322 words · RL4AA Collaboration

2020⁶

December⁴

Policy gradient methods for free-electron laser and terahertz source optimization and stabilization at the FERMI free-electron laser at Elettra

December 21, 2020 · 160 words · RL4AA Collaboration

Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL

December 17, 2020 · 158 words · RL4AA Collaboration

Autonomous Control of a Particle Accelerator using Deep Reinforcement Learning

December 12, 2020 · 150 words · RL4AA Collaboration

Sample-efficient reinforcement learning for CERN accelerator control

December 1, 2020 · 185 words · RL4AA Collaboration

July¹

Neural Networks for Modeling and Control of Particle Accelerators

July 1, 2020 · 322 words · RL4AA Collaboration

May¹

Basic Reinforcement Learning Techniques to Control the Intensity of a Seeded Free-Electron Laser

May 9, 2020 · 206 words · RL4AA Collaboration

2019³

October²

Toward the Application of Reinforcement Learning to the Intensity Control of a Seeded Free-Electron Laser

October 23, 2019 · 222 words · RL4AA Collaboration

Free-electron Laser Optimization with Reinforcement Learning

October 5, 2019 · 164 words · RL4AA Collaboration

May¹

Feedback Design for Control of the Micro-Bunching Instability Based on Reinforcement Learning

May 19, 2019 · 195 words · RL4AA Collaboration

2017²

August²

Using a neural network control policy for rapid switching between beam parameters in an FEL

August 25, 2017 · 138 words · RL4AA Collaboration

2024 1

February 1

Successful RL4AA'24 workshop in Salzburg: Thanks everyone for joining!

2023 10

December 1

RL4AA'24 call for abstracts extended to 5 January. Exciting keynote speakers announced. Register now!

August 1

Registration is now open for RL4AA'24 taking place 05 - 07 February 2024 in Salzburg, Austria

June 2

Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning

The RL4AA Discord server is up!

May 2

Trend-Based SAC Beam Control Method with Zero-Shot in Superconducting Linear Accelerator

Ultra fast reinforcement learning demonstrated at CERN AWAKE

April 3

The 2nd RL4AA workshop 2024 will be held 05 - 07 February 2024 in Salzburg

Towards automatic setup of 18 MeV electron beamline using machine learning

Orbit Correction Based on Improved Reinforcement Learning Algorithm

February 1

RL4AA'23: 1st Collaboration Workshop on Reinforcement Learning for Autonomous Accelerators

2022 4

October 1

Optimizing a superconducting radio-frequency gun using deep reinforcement learning

September 1

Application of reinforcement learning in the LHC tune feedback

July 1

Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training

June 1

Automated Intensity Optimisation Using Reinforcement Learning at LEIR

2021 8

November 1

Micro-Bunching Control at Electron Storage Rings with Reinforcement Learning

October 2

Real-time artificial intelligence for accelerator control: A study at the Fermilab Booster

Test of Machine Learning at the CERN LINAC4

September 1

Renovation of the beam-based feedback systems in the LHC

May 3

Accelerated Deep Reinforcement Learning for Fast Feedback of Beam Dynamics at KARA

First Steps Toward an Autonomous Accelerator, A Common Project Between DESY and KIT

Physics-Enhanced Reinforcement Learning for Optimal Control

March 1

Feasibility Investigation on Several Reinforcement Learning Techniques to Improve the Performance of the FERMI Free-Electron Laser

2020 6

December 4

Policy gradient methods for free-electron laser and terahertz source optimization and stabilization at the FERMI free-electron laser at Elettra

Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL

Autonomous Control of a Particle Accelerator using Deep Reinforcement Learning

Sample-efficient reinforcement learning for CERN accelerator control

July 1

Neural Networks for Modeling and Control of Particle Accelerators

May 1

Basic Reinforcement Learning Techniques to Control the Intensity of a Seeded Free-Electron Laser

2019 3

October 2

Toward the Application of Reinforcement Learning to the Intensity Control of a Seeded Free-Electron Laser

Free-electron Laser Optimization with Reinforcement Learning

May 1

Feedback Design for Control of the Micro-Bunching Instability Based on Reinforcement Learning

2017 2

August 2

Using a neural network control policy for rapid switching between beam parameters in an FEL

Using Neural Network Control Policies For Rapid Switching Between Beam Parameters in a Free Electron Laser

2012 1

May 1

Orbit Correction Studies Using Neural Networks

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