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# 2nd collaboration workshop on Reinforcement Learning for Autonomous Accelerators (RL4AA'24) | ||
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This repository contains the material for the second day of the [RL4AA'24](https://indico.scc.kit.edu/event/3746/timetable/#all.detailed) event. | ||
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Homepage for RL4AA Collaboration: [https://rl4aa.github.io/](https://rl4aa.github.io/) | ||
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## Theory slides for the tutorial | ||
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- [Advanced concepts in RL](https://github.com/RL4AA/RL4AA23/blob/main/slides/Hirlaender_advanced_concepts.pdf), Simon Hirländer | ||
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## Python tutorial: meta reinforcement learning implementation example | ||
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- Github repository containing the material: [https://github.com/RL4AA/RL4AA23](https://github.com/RL4AA/rl4aa24-tutorial/) | ||
- Tutorial in slide form: [here](https://github.com/RL4AA/rl4aa24-tutorial/tutorial.html#/) | ||
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## Getting started | ||
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- First, download the material to your local disk by cloning the repository: | ||
`git clone https://github.com/RL4AA/rl4aa24-tutorial.git` | ||
- If you don't have git installed, you can click on the green button that says "Code", and choose to download it as a `.zip` file. |
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