Welcome RL Environments to the hub

This post introduces the concept of RL Environments on the Hugging Face Hub, establishing a standardized way to host and discover RL environments. It details the integration of four RL frameworks (Harbor, Verifiers, OpenEnv, NeMo Gym) with the Hub's dataset repository system. The core contribution is the tagging mechanism for RL environments and the generation of framework-specific 'Use this dataset' commands, enabling frameworks to load environment data from the Hub. Examples are provided for running environments using Harbor, Verifiers, OpenEnv, and NeMo Gym, showcasing how to inspect rewards and agent performance.