hud-environment-builder

What problem does it solve?

This Skill allows you to create, evaluate, and train AI agents using HUD's reinforcement learning environments, facilitating the development of AI agents across various domains.

Core Features & Use Cases

• RL Environment Construction: Build environments for AI agents with a variety of capabilities, including coding, computer use, browser, and robotics.
• Task Design: Write tasks that prompt and grade agent actions, ensuring a structured learning process.
• Evaluation & Training: Evaluate and train agents at scale using various models, including Claude, OpenAI, Gemini, and custom models.
• Use Case: Create a coding environment where agents can write and execute Python code, and evaluate their performance based on the output.

Quick Start

Initialize a new environment with the command: hud init my-env --preset coding