| The OpenEnv Challenge: SOTA Environments to |
| drive general intelligence |
| Sponsors: PyTorch team at Meta, Hugging Face, and Unsloth |
| Prizes: |
| - Prize pool: $10k in credits from HF |
| - An invitation to publish to the PyTorch.org blog about what you built |
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| Description |
| As AI systems evolve from static predictors into fully agentic learners, high-quality general reinforcement |
| learning (RL) environments have become core infrastructure. They serve as the world in which agents |
| explore, reason, and acquire new skills. The OpenEnv Student Challenge invites participants to design |
| and build innovative, open-source RL environments that push the boundaries of what today’s agents can |
| learn. |
| Using OpenEnv, the emerging standard for environment creation and interoperability, students will |
| develop environments that are modular, reproducible, and seamlessly integrated with modern |
| PyTorch-native RL tooling like torchforge, TRL, and Unsloth |
| Participants will build production-ready environments that span coding tasks, interactive simulations, |
| robotics-inspired control problems, multi-agent dynamics, computer use, or entirely new categories of |
| agentic challenges. Submissions will be evaluated on creativity, clarity of design, scalability, and |
| alignment with OpenEnv’s standard API and hub ecosystem. Winning projects will contribute directly to |
| the broader open-source community, helping advance the tools and benchmarks that shape the future of |
| agentic AI research and post-training. |
| This challenge offers students hands-on experience with frontier AI development and the opportunity to |
| influence how the next generation of RL systems learn, adapt, and generalize. |
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| Tasks & Deliverables |
| The goal of this competition is to create a real-worldRL environment and then attempt to solve it using |
| your favorite LLM. Examples of en |
| To enter the challenge: |
| 1. Add your environment to the HF Hub |
| 2. Publish training notebooks/scripts on Github (can be your own personal GitHub) |
| 3. Write a blog on Huggingface |
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| Evaluation Criteria |
| The main evaluation criteria will be based on the submission blog, we will have a judging panel that will |
| grade submissions based on: |
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| Creative and Robust use of OpenEnv |
| Technical Excellence |
| Story-telling |
| Open Source Demo |
| Green Agent wrapper for the environment |
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| Resources & Getting Started |
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| Hello world tutorial: |
| https://colab.research.google.com/github/meta-pytorch/OpenEnv/blob/main/examples/OpenEnv_ |
| Tutorial.ipynb |
| Github: https://github.com/meta-pytorch/OpenEnv |
| Docs: https://meta-pytorch.org/OpenEnv/ |
| Environment hub: https://huggingface.co/openenv |
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| Support |
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| Discord: https://discord.gg/ktH3zDxw |
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