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QuoridorAI

Description

This project implements four AI algorithms for Quoridor.

  • Minimax
  • Minimax with Alpha-Beta Pruning
  • Expectimax
  • Monte Carlo Tree Search

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Running the project

  • Install numpy
  • Navigate to the project root directory and run python3 main.py

Note: the wall placement mechanism makes for a remarkably high branching factor in the decision trees. I address this by applying a manual heuristic to prioritize wall placements immediately adjacent to existing walls and pawns, mimicking human tendencies.

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Monte Carlo Tree Search Playground

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