angusfung/sokoban-AI

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

20
/ 100
Experimental

Implements multiple search algorithms (DFS, BFS, A*, uniform-cost, anytime variants) with interchangeable heuristics (Manhattan distance, Euclidean, displaced blocks) and memoization via dictionary lookup to optimize performance. The modular architecture allows custom search strategies and heuristics to be added directly in solution.py, enabling experimentation with advanced techniques. Test cases validate performance across different solver configurations.

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8

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5

Language

Python

License

Last pushed

May 06, 2017

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