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Game Bots by Matthew Schieber

In pursuit of my passion for Artificial Intelligence, games, and puzzles, I created this repo for personal exploration.
Each project contains its own directory. Here are short summaries of each project:

  • 8-Queens-GA: Solution for the 8-queens problem using genetic algorithms.
  • N-Puzzle: Solution to the N-puzzle using A* search.
  • battleship: Game player, uses probabilistic decision making. written in C++
  • bidding-game: Game player, bidding tug of war.
  • bidding-tic-tac-toe: Game player, tic-tac-toe with bidding strategies.
  • checkers: Game player, alpha-beta pruning written in C++.
  • dead-end-isolation: Game player, a variant of isolation.
  • maze-escape: Game player, includes general solution to partially-observable maze escape problems, etc.
  • pacman: Game player, uses three search variants: A*, BFS, UCS to find food for pacman.
  • stock-trader: Game player, employs machine learning on stock data to construct intelligent trading strategies.
  • tic-tac-toe: Game player, classical tic-tac-toe using minimax decision making.
  • tron: Game player, turn-based two-player tron - minimax with alphabeta pruning decision making.

Acknowledgments

  • Hackerrank
  • Georgia Tech AI classes

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