Artificial Intelligence: Reinforcement Learning in Python

Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications

Created by: Lazy Programmer Team
Artificial Intelligence and Machine Learning Engineer

Created by: Lazy Programmer Inc.
Artificial intelligence and machine learning engineer

What Will I Learn?

• Apply gradient-based supervised machine learning methods to reinforcement learning
• Understand reinforcement learning on a technical level
• Understand the relationship between reinforcement learning and psychology
• Implement 17 different reinforcement learning algorithms
• Understand important foundations for OpenAI ChatGPT, GPT-4

Requirements

• Calculus (derivatives)
• Probability / Markov Models
• Numpy, Matplotlib
• Beneficial to have experience with at least a few supervised machine learning methods
• Gradient descent
• Good object-oriented programming skills

Target audience

• Anyone who wants to learn about artificial intelligence, data science, machine learning, and deep learning
• Both students and professionals