Published March 25, 2024
| Version v1.0.1
Software
Open
Tutorial on Applying Reinforcement Learning to the Particle Accelerator ARES
- 1. Karlsruhe Institute of Technology
- 2. Deutsches Elektronen-Synchrotron DESY
Description
Update citation information.
Notes
If you use this software, please cite it as below.
Files
RL4AA/rl-tutorial-ares-basic-v1.0.1.zip
Files
(34.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:bd1dea2c5a89c410bb339c0dc0cb2574
|
34.0 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/RL4AA/rl-tutorial-ares-basic/tree/v1.0.1 (URL)