# OpenEnv Hackathon — official resources (finalists)

Curated links from the hackathon organizers. Use these to build, train, and iterate.

## 1. OpenEnv Core

Interface library for RL post-training with environments.

- **GitHub:** https://github.com/meta-pytorch/OpenEnV  
- **Docs:** https://meta-pytorch.org/OpenEnv/

## 2. Hugging Face OpenEnv Hub

- **Environments:** https://huggingface.co/openenv  
- **Spaces:** https://huggingface.co/openenv/spaces  

## 3. Tutorials

Build, run, and train RL environments and training pipelines.

- **All tutorials:** https://github.com/meta-pytorch/OpenEnv/tree/main/tutorial  
- **Training examples:** https://github.com/meta-pytorch/OpenEnv/tree/main/tutorial/examples  
- **Environment examples:** https://github.com/meta-pytorch/OpenEnv/tree/main/envs  

## 4. YouTube — building RL environments

- https://www.youtube.com/watch?v=0airz7BhBiA  
- https://www.youtube.com/watch?v=ap4q4sAK4OY  
- https://www.youtube.com/watch?v=Jew4lhAiqnw  
- https://www.youtube.com/live/kkCNMz0Ptd8?si=JJ7og8x5qc7_Gi0e  

## 5. Research — reward engineering

- https://arxiv.org/abs/2408.10215  
- https://arxiv.org/abs/2601.19100  

**Tip:** Use an LLM to chat with these papers for quick reward-design insights.