vivek3141/pacman-ai
A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning
This project develops an AI that can play the classic 1980 Atari Pacman game, learning to navigate the maze, eat pellets, and avoid ghosts. It takes the game's visual state or internal data as input and outputs the optimal moves (up, down, left, right) for Pacman. This is designed for researchers or enthusiasts in artificial intelligence and machine learning who are exploring advanced game-playing algorithms.
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Use this if you are an AI researcher or student interested in applying and comparing neuroevolution (NEAT) and deep reinforcement learning (DQN) techniques to a classic video game environment.
Not ideal if you are looking for a general-purpose Pacman game or a simple bot for casual play, as this project focuses on the underlying AI algorithms and their training.
Stars
28
Forks
3
Language
Python
License
GPL-3.0
Category
Last pushed
Apr 01, 2019
Commits (30d)
0
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