Serpent.AI - Game agent framework: Use any video game as a deep learning sandbox
A Python framework for creating AI agents that learn to play any video game you own.
What is Serpent.AI - Game agent framework: Use any video game as a deep learning sandbox?
Serpent.AI is a Python framework designed to help developers and researchers create AI agents that learn to play video games. It transforms any video game into a sandbox environment for experimentation, providing tools and conventions to build bots using machine learning, computer vision, or custom logic. The framework addresses the need for a flexible, native solution that works with user-owned games without relying on containers or special APIs.
AI researchers, machine learning engineers, and hobbyist developers interested in game AI, reinforcement learning, or using video games as environments for AI experimentation.
Developers choose Serpent.AI for its native execution, compatibility with any owned game, and plugin-based flexibility that supports diverse AI approaches beyond just reinforcement learning, unlike more restrictive alternatives.
Overview
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Use Cases
Best For
- Building custom game bots using reinforcement learning algorithms
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