snake and snake-neural-network
These are competitors—both implement AI agents for the Snake game using different approaches (reinforcement learning vs. neural networks with genetic algorithms), and a developer would select one based on their preferred learning paradigm rather than use them together.
About snake
chynl/snake
Artificial intelligence for the Snake game.
Implements three distinct solver algorithms—Hamilton cycle pathfinding for near-optimal play, greedy heuristic search, and experimental deep Q-learning—evaluated across 1000-episode trials measuring final snake length and step efficiency. Built in Python with Tkinter visualization and includes comprehensive unit tests for algorithm validation.
About snake-neural-network
zonetti/snake-neural-network
An experiment with neural network and genetic algorithms
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