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This is a UC Berkeley's AI exercises for making PACMAN searching algorithms optimized. (DFS, BFS, UCS, A*, food heuristics etc). Files that I update is search.py, multiAgents.py and search.py. It also includes an autograder to check the results (python autograder.py). My results after the exercise was 32/31 (+1 for a bonus point).
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