In this repo you will find a variety of machine learning algorithms used to control and manipulate PacMan.

Within the classifier folder you will find a file named classifier.py in here I include the following four commonly used machine learning classifiers:

1. Naive Bayes
2. KNN (K-Nearest Neighbors) Classifier
3. Decision Tree Classifier
4. SVM (Support Vector Machine) Classifier

These classifers can be run with the following command:

python3 pacman.py -p ClassifierAgent

Within the q-learing folder I have developed a Q-learning algorithm. This can be found inside the file named mlLearningAgents.py.

The q-learning perform better than the classifers. This can be run using the following command:

python3 pacman.py -p QLearnAgent -x 2000 -n 2010 -l smallGrid