SerpentAI

SerpentAI: Open Source Machine Learning Framework for Game Agent Development

SerpentAI is an open source machine learning framework for game agent development. It allows developers to train AI agents to play games like chess, Go, and StarCraft using reinforcement learning and neural networks.

What is SerpentAI?

SerpentAI is an open-source machine learning framework designed specifically for developing game playing agents using cutting-edge reinforcement learning techniques. It provides a flexible architecture and set of tools to train AI agents to master complex video games like StarCraft, Chess, Go and more.

Some key capabilities and benefits of SerpentAI include:

• Supports various reinforcement learning algorithms like PPO, A2C, DQN, ACL, etc.
• Integrated with OpenAI Gym for easy environment building and training pipeline.
• Modular design allows customization and extensibility at every layer.
• Comes with pre-made environments and trained models for games like Flappy Bird, Snake, Pong.
• Active community providing implementation guides, environment building tips, pre-trained models.
• Completely open source and free to use for academic research and commercial applications.

Overall, if you need a platform to apply modern machine learning to video game AI tasks like automated gameplay, procedural content generation, human-like game testing bots etc, SerpentAI is an excellent framework to help build and deploy such agents.

SerpentAI Features

Official Links