Deep Reinforcement Learning for Atari Games Python Tutorial - AI Plays Space Invaders

Overview

Learn how to build an AI model that plays Space Invaders using deep reinforcement learning in Python. Explore the process of creating an Atari environment with OpenAI Gym, constructing a deep learning model using TensorFlow, and training a reinforcement learning agent with Keras-RL. Follow along as the tutorial guides you through installing dependencies, setting up the environment, applying random actions, creating the model architecture, and finally training and testing the AI to play the game autonomously. Gain hands-on experience in implementing reinforcement learning techniques for classic Atari games and understand how to leverage AI to improve gaming performance.

Syllabus

- Start
- Introduction
- Installing Dependencies for Keras-RL and OpenAI Gym for Python
- Creating an OpenAI Gym Environment for Atari Space Invaders
- Applying Random Actions to RL OpenAI Environments
- Importing Tensorflow Deep Learning Dependencies
- Creating a Deep Learning Model Build Function
- Setting up a Deep Learning Model and Viewing the Architecture
- Importing Keras-RL Dependencies
- Setting up a Reinforcement Learning Agent with Keras-RL
- Training Reinforcement Learning Models to Play Space Invaders
- Testing the Model