elanizi43998/the-pac-man-ai

UC Berkeley CS188 Intro to AI -- Course Materials

The-Pac-Man-AI

According to UC Berkeley CS188 Intro to AI -- Course Materials

Description

PAC-Man built with Python 2.7 and strong AI algorithms, like a reinforcement learning, forward and backward propagation, minimax and etc. using Linux/Ubuntu 18.04.

Overview

The Pac-Man projects were developed for UC Berkeley's introductory artificial intelligence course, CS 188. They apply an array of AI techniques to playing Pac-Man. However, these projects don't focus on building AI for video games. Instead, they teach foundational AI concepts, such as informed state-space search, probabilistic inference, and reinforcement learning. These concepts underly real-world application areas such as natural language processing, computer vision, and robotics.

We designed these projects with three goals in mind. The projects allow students to visualize the results of the techniques they implement. They also contain code examples and clear directions, but do not force students to wade through undue amounts of scaffolding. Finally, Pac-Man provides a challenging problem environment that demands creative solutions; real-world AI problems are challenging, and Pac-Man is too.

In our course, these projects have boosted enrollment, teaching reviews, and student engagement. The projects have been field-tested, refined, and debugged over multiple semesters at Berkeley. We are now happy to release them to other universities for educational use.

Technical Notes The Pac-Man projects are written in pure Python 2.7 and do not depend on any packages external to a standard Python distribution.

Support This project was supported by the National Science foundation under CAREER grant 0643742. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).