docs/hackathon-official-resources.md

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.