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.
Overview
Syllabus
Intro
High level overview
Benefits of becoming a Patron
High level overview continued
Code review
Benefits of becoming a Patron
HP optimzer Coder review
Taught by
echohive
Related Courses
-
Python Reinforcement Learning using OpenAI Gymnasium – Full Course
-
Modern Reinforcement Learning: Deep Q Learning in PyTorch
-
Deep Reinforcement Learning in Python
-
Practical AI with Python and Reinforcement Learning
-
Practical Reinforcement Learning using Python - 8 AI Agents
-
Deep Reinforcement Learning: Hands-on AI Tutorial in Python
