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berkeley-ai-pacman-search's Introduction

Berkeley-AI-Pacman-Search

Implementing Depth First Search, Breadth First Search, Uniform Cost Search, and A* Search for a pacman.

For full documentation refer http://ai.berkeley.edu/search.html

To Run

Breadth First Search

python pacman.py -l mediumMaze -p SearchAgent -a fn=bfs

python pacman.py -l bigMaze -p SearchAgent -a fn=bfs -z .5

If Pacman moves too slowly for you, try the option --frameTime 0.

Depth First Search

python pacman.py -l tinyMaze -p SearchAgent

python pacman.py -l mediumMaze -p SearchAgent

python pacman.py -l bigMaze -z .5 -p SearchAgent

Uniform Cost Search

python pacman.py -l mediumMaze -p SearchAgent -a fn=ucs

python pacman.py -l mediumDottedMaze -p StayEastSearchAgent

python pacman.py -l mediumScaryMaze -p StayWestSearchAgent

A* Search

python pacman.py -l bigMaze -z .5 -p SearchAgent -a fn=astar,heuristic=manhattanHeuristic

Finding All the Corners

python pacman.py -l tinyCorners -p SearchAgent -a fn=bfs,prob=CornersProblem

python pacman.py -l mediumCorners -p SearchAgent -a fn=bfs,prob=CornersProblem

Corners Problem: Heuristic

python pacman.py -l mediumCorners -p AStarCornersAgent -z 0.5

-p SearchAgent -a fn=aStarSearch,prob=CornersProblem,heuristic=cornersHeuristic

Eating All The Dots

python pacman.py -l testSearch -p AStarFoodSearchAgent

python pacman.py -l trickySearch -p AStarFoodSearchAgent

Suboptimal Search

python pacman.py -l bigSearch -p ClosestDotSearchAgent -z .5

berkeley-ai-pacman-search's People

Contributors

nomaanakhan avatar

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