THUSI-Lab/GameVerse
GameVerse: Can Vision-Language Models Learn from Video-based Reflection?
This tool is a comprehensive platform for evaluating how well AI models, specifically Vision-Language Models (VLMs), can play various video games. It takes game video footage and human-like strategic prompts as input and outputs performance metrics and behavioral analyses of the AI agent's gameplay. It's designed for AI researchers and game AI developers who are building and testing advanced game-playing agents.
Use this if you need to systematically benchmark the game-playing capabilities of your AI agents or Vision-Language Models across a wide array of complex video games.
Not ideal if you're a casual gamer looking for an AI opponent, or if you only need to evaluate a single, simple game with basic metrics.
Stars
45
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 26, 2026
Commits (30d)
0
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