snake and geneticSnakeANN
These are competitors—both implement AI-driven snake game agents using different approaches (reinforcement learning vs. genetic algorithms), solving the same problem of autonomous snake gameplay.
Maintenance
16/25
Adoption
10/25
Maturity
16/25
Community
25/25
Maintenance
0/25
Adoption
4/25
Maturity
9/25
Community
10/25
Stars: 1,757
Forks: 553
Downloads: —
Commits (30d): 2
Language: Python
License: MIT
Stars: 6
Forks: 1
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
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No Dependents
Stale 6m
No Package
No Dependents
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 geneticSnakeANN
AlbertoLanaro/geneticSnakeANN
Self learning snake with ANN-based genetic algorithm
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