A collection of OpenEnv-spec Environments
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OpenEnv: Agentic Execution Environments
A community driven collection of OpenEnv-spec Environments composed of a Hub and a Standardized spec to ensure environment compatibility.
Join the Hackathon!
Additionally, we’re thrilled to announce a new AgentBeats custom track: the OpenEnv Challenge: SOTA Environments to Drive General Intelligence, sponsored by the PyTorch team at Meta, Hugging Face, and Unsloth. Participants will compete to develop innovative, open-source RL environments that push the frontiers of agent learning, with a prize pool of $10K in Hugging Face credits, and the chance to be published on the PyTorch blog
OpenEnv Spec
An e2e framework for creating, deploying and using isolated execution environments for agentic RL training, built using Gymnasium style simple APIs. Repo: https://github.com/meta-pytorch/OpenEnv
Open In Colab ← Try the Interactive Tutorial!
Hugging Face x Meta-PyTorch
Hugging Face, Meta-PyTorch and many other supporters are committed to democratizing RL post training with environmnets.
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