chynl/snake

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1787 stars · 578 forks observed · 2026-08-28

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

A Python application that plays the game of Snake using two AI approaches: a graph-search algorithm based on Hamiltonian paths and shortest paths, and a deep reinforcement learning model trained with PyTorch. It includes a pre-trained model and training scripts, running on CPU or GPU.

Use cases

• play snake with an AI agent
• train a reinforcement learning model to play snake
• learn graph search algorithms for games
• compare rule-based AI vs reinforcement learning
• study Hamiltonian path strategies in snake
• experiment with deep RL in a simple game environment

When to choose

• you want a well-documented, benchmarked snake AI with both graph search and RL approaches
• you want a simple environment to learn or teach reinforcement learning
• you want a ready-to-run demo with a pre-trained model

When to avoid

• you need a production game or a general-purpose RL framework
• you want a graphical game engine beyond the snake demo
• you need environments other than snake

Facets

application · maturity active

game reinforcement-learning machine-learning simulation artificial-intelligence reinforcement-learning python cross-platform cli snake-game graph-search hamiltonian-path deep-reinforcement-learning pytorch ai-agent game-development algorithms

Member repositories

For agents

markdown · JSON · MCP: product_card(name="chynl/snake")