Deep Reinforcement Learning Agent for Snake Game

Watch a 33-minute video demonstrating how a Deep Reinforcement Learning agent learns to play the classic Snake game from scratch. Explore the high-level overview of the project, delve into a detailed code review, and learn about the implementation of a DQN (Deep Q-Network) algorithm. Gain insights into the benefits of becoming a Patron and discover how to access additional resources, including project files and a comprehensive Python AI course. The video also covers the use of a hyperparameter optimizer and provides valuable information for those interested in artificial intelligence, machine learning, and Python projects.

Intro
High level overview
Benefits of becoming a Patron
High level overview continued
Code review
Benefits of becoming a Patron
HP optimzer Coder review