Welcome RL Environments to the hub

Announcing Evaluation on the Hub

Designing the hf CLI as an agent-optimized way to work with the Hub

Spinning Up in Deep RL: Workshop review

On February 2, we held our first Spinning Up Workshop as part of our new education initiative at OpenAI.

Putting RL back in RLHF

Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries

Introducing Storage Regions on the HF Hub

The Open Source Community is backing OpenEnv for Agentic RL

Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub — No Code Required

Xet is on the Hub

Welcome Fireworks.ai on the Hub 🎆

OpenAI Red Teaming Network

We’re announcing an open call for the OpenAI Red Teaming Network and invite domain experts interested in improving the safety of OpenAI’s models to join our efforts.

Spinning Up in Deep RL

We’re releasing Spinning Up in Deep RL, an educational resource designed to let anyone learn to become a skilled practitioner in deep reinforcement learning. Spinning Up consists of crystal-clear examples of RL code, educational exercises, documentation, and tutorials.