MiniWoB++ provides over 100 web interaction environments for reinforcement learning research, extending OpenAI's MiniWoB benchmark. It offers a Python interface compatible with the Gymnasium API, enabling programmatic control of web browser interactions via Selenium WebDriver. This benchmark is designed for researchers and practitioners in RL focusing on web-based tasks.

How It Works

MiniWoB++ leverages Selenium WebDriver to automate browser actions, simulating user interactions with web pages. Each environment presents a specific web-based task, and agents learn to navigate and manipulate the DOM to achieve goals. The Python interface abstracts the complexities of browser automation, providing a standardized Gymnasium API for RL agents.

Quick Start & Requirements

• Install via pip: pip install miniwob
• Requires Python 3.8+ on Linux or macOS.
• Requires Chrome/Chromium browser and ChromeDriver. Add ChromeDriver to your PATH or install via package manager (e.g., sudo apt install chromium-driver on Debian/Ubuntu).
• Official documentation: miniwob.farama.org

Highlighted Details

• Over 100 distinct web interaction environments.
• Python interface adheres to the Gymnasium API standard.
• Uses Selenium WebDriver for browser automation.
• Extension of the original OpenAI MiniWoB benchmark.

Maintenance & Community

• Development is ongoing to align with Farama Standards.
• Long-term maintenance is planned.
• Join the Discord server for community support: https://discord.gg/PfR7a79FpQ
• Project Roadmap available for details on development direction.

Licensing & Compatibility

• The license is not explicitly stated in the README. Compatibility for commercial use or closed-source linking is undetermined.

Limitations & Caveats

The README does not specify the project's license, which is a critical factor for commercial adoption or integration into closed-source projects. Development is ongoing to meet Farama Standards, suggesting potential for API changes or incomplete features.