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| # 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. | |