sokobot and sokoban-AI

These are competitors offering overlapping Sokoban AI implementations using comparable search strategies (BFS, DFS, A*) and heuristics, with the primary differentiator being that angusfung/sokoban-AI includes deadlock detection while rumbleFTW/sokobot provides a complete playable game interface.

sokobot
37
Emerging
sokoban-AI
27
Experimental
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 15/25
Stars: 7
Forks: 8
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 8
Forks: 5
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About sokobot

rumbleFTW/sokobot

Full-Fledged Sokoban game with AI using Depth-First, Breadth-First strategies and A* Pathfinding with Manhattan heuristic

This is a Sokoban-style puzzle game built in Python, offering a classic box-pushing challenge. It takes a puzzle level as input and provides an interactive game experience where players move boxes to designated target locations. This is for anyone who enjoys brain-teasing logic puzzles and wants to play a digital version of Sokoban.

puzzle-games brain-teasers logic-puzzles single-player-games

About sokoban-AI

angusfung/sokoban-AI

AI of the game Sokoban using search strategies and heuristics with deadlock checking.

This project helps you explore and solve Sokoban puzzles by automatically finding optimal moves. It takes a Sokoban puzzle as input and outputs the sequence of pushes needed to solve it. This is for game enthusiasts, puzzle designers, or anyone interested in understanding game AI strategies.

puzzle-solving game-AI strategy-games game-design problem-solving

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