Summary of Jaxued: a Simple and Useable Ued Library in Jax, by Samuel Coward et al.
JaxUED: A simple and useable UED library in Jax
by Samuel Coward, Michael Beukman, Jakob Foerster
First submitted to arxiv on: 19 Mar 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The JaxUED library offers a minimal dependency implementation of modern Unsupervised Environment Design (UED) algorithms in Jax, leveraging hardware acceleration to achieve speedups of up to 100x compared to CPU-based implementations. This project aims to accelerate research into UED by providing fast, clear, and easily modifiable code, inspired by CleanRL. The library includes baseline results and is open-source, available on GitHub. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary JaxUED is a new tool that helps scientists design environments for artificial intelligence research. It’s like a super-powered calculator that lets them try out different ideas quickly and easily. This makes it easier to find the best approach and get more done in less time. The goal of JaxUED is to speed up the process of creating new AI systems. |
Keywords
* Artificial intelligence * Unsupervised
