Popular GitHub Repositories for Pac Man Game

Implemented reinforcement learning algorithms, including Value-Iteration and Q-Learning, for a 2D grid world Markov Decision Process resembling a Pac-man game. Also applied the Mini-Max algorithm and common path-planning techniques such as A*, Dijkstra, and bidirectional search.

Developed and implemented a Reinforcement Learning Deep Q-Network (RL-DQN) that learned to play Pac-Man from its experience using a Convolutional Neural Network (CNN) trained on screen images as input.