AI Agent for Puzzle/Game Solving

Intelligent agents for solving puzzles and simple games

About This Project

This project focuses on developing an AI agent using machine learning algorithms (specifically A* search) to solve puzzles or play simple games like tic-tac-toe. The implementation includes decision trees and demonstrates comprehensive performance evaluation techniques.

Core Concepts

  • Search algorithms (A*, minimax)
  • Decision trees implementation
  • Game state representation
  • Heuristic functions
  • Performance evaluation for game-playing agents

Key Knowledge/Skills

  • Search-based planning techniques
  • Decision making algorithms
  • Agent-environment interaction
  • Heuristic optimization
  • Problem solving for dynamic environments

Coursework Covered

Introduction to Artificial Intelligence

Project Status

In development

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