Workshop with Meta: The OpenEnv Challenge | AgentX-AgentBeats Competition
Join us for an exclusive AgentX–AgentBeats Competition workshop with Meta featuring the OpenEnv Challenge: a new initiative focused on building open-source reinforcement learning (RL) environments that help drive general intelligence.
What to Expect:
The OpenEnv Challenge Overview: Get a clear overview of what the challenge is, why it matters, and the kinds of environments and tasks it’s designed to unlock.
Building Next-Gen RL Environments: Learn what makes a great general-purpose environment for agentic learning — from coding tasks and interactive simulations to multi-agent dynamics, computer use, and entirely new categories of challenges.
Expert Guidance & Demos: Gain practical guidance from Meta's team as they walk you through best practices for getting the most out of your RL environment.
Interactive Q&A: Engage directly with experts in a live Q&A session to get answers to your questions and leave equipped to optimize your AgentBeats project.
Don’t miss this chance to learn from one of the leading AI research organizations and advance your AgentBeats progress.
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!
What You’ll Build: The goal of the challenge is to create a real-world RL environment and then attempt to solve it using your favorite LLM.
To enter, participants will:
Add their environment to the Hugging Face Hub
Publish training notebooks/scripts on GitHub
Write a submission blog on Hugging Face
OpenEnv Challenge Submission Deadline: March 30, 2026
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:
Creative and Robust use of OpenEnv
Technical Excellence
Story-telling
Open Source Demo
Green Agent wrapper for the environment
We can't wait to see what you've built!
And don’t forget to sign up for the AgentX-AgentBeats Competition, hosted by Berkeley RDI, where over $1M in prizes and resources are up for grabs! This two-phase competition invites participants to: First build or enhance benchmarks for agentic AI (Phase 1), and then develop AI agents that excel on them (Phase 2). Together, these phases aim to advance the field by creating high-quality, broad-coverage, and realistic agent evaluations as shared public goods—building a unified, community-driven ecosystem for agent evaluation benchmarks that are compatible, standardized, reproducible, collaborative, and discoverable.
✅ Sign Up for the Competition:
Participant Sign‑Up Form – Each participant must register individually.
Team Sign‑Up Form – After completing your individual registration, please submit a team registration form. All participants must complete this step — even if competing solo (a team may consist of just one participant).
Let’s shape the future of Agentic AI — together!