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Solving Pacman via Reinforcement Learning

This Pacman Project is done with regards to the module CS3243, Introduction to Artificial Intelligence.

Objectives

  • Familiarise with the reinforcement learning.
  • Implement a Q-learning agent as well as an approximate Q-learning agent and train them to play the game of Pacman (qLearningAgents.py).
  • Implement and customize a feature extractor for the Pacman game in order to maximize the score and win rate of the agent (featureExtractors.py).

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Solving Pacman via Reinforcement Learning (Q-learning implementation)

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