Recorded on 📅 Wed, Feb 19, 2026 | 10:00 AM PT
Learn how to go from “zero to hero” with agentic reinforcement learning and environment-driven evaluation using OpenEnv—with updated notebooks that reflect the latest features and best practices.
You’ll see how to run and iterate quickly, how to align your work with modern inference/runtime flows (including Llama + vLLM notebook patterns), and how to package and submit through the Hugging Face Hub for competitions or structured evaluation.
For questions related to AgentX-AgentBeats OpenEnv Challenge, go to / discord
For general questions related to AgentX-AgentBeats and other tracks, go to our Discord!
The OpenEnv Challenge is sponsored by the PyTorch team at Meta, Hugging Face, and Unsloth, with a $10,000 prize pool in Hugging Face credits (with more prizes/resources to be announced), plus an invitation to publish on the PyTorch.org blog about what you built!