Shypd.aiThe largest open index of AI toolssnake-ga is an AI agent that learns to play the Snake game using Deep Q-Learning. It allows for optimization using Bayesian Optimization and is implemented in Pytorch.
Trending
About
snake-ga is an AI agent designed to learn how to play the classic Snake game from scratch using Deep Reinforcement Learning. The project leverages Deep Q-Learning, where the system receives state parameters and rewards based on its actions, gradually developing a strategy to maximize its score without explicit game rules. This approach enables the AI to achieve scores up to 50 points with a solid strategy after only five minutes of training. The tool also supports Bayesian Optimization to fine-tune the parameters of the Deep neural network and other Deep RL aspects. Implemented in Pytorch, it offers a robust platform for experimenting with AI in game environments.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
Also listed in
