linyiLYi/snake-ai resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1785 stars · 401 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python project implementing the classic Snake game with Pygame and an AI agent trained via deep reinforcement learning to play it. It provides MLP-based and CNN-based agents (using Stable-Baselines3 and OpenAI Gym) with pretrained model weights and training logs viewable in TensorBoard.

Use cases

• learn deep reinforcement learning with a hands-on example
• train an AI to play the snake game
• compare MLP vs CNN agents in reinforcement learning
• demo of reinforcement learning for game playing
• study a simple RL project with pretrained models
• teach reinforcement learning concepts with a classic game

When to choose

• you want a small, well-documented project to learn deep RL basics
• you want pretrained Snake-playing agents to test and explore
• you want a Pygame + Stable-Baselines3 reference implementation

When to avoid

• you need a production game or general-purpose RL framework
• you need agents for games other than Snake
• you need maintained, actively developed RL tooling

Facets

learning-resource · maturity stable

reinforcement-learning machine-learning game deep-learning reinforcement-learning machine-learning gaming-tools education python windows cross-platform snake-game pygame stable-baselines3 openai-gym dqn mlp cnn pytorch tutorial gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="linyiLYi/snake-ai")