Cutting-Edge AI: Deep Reinforcement Learning in Python

Apply deep learning to artificial intelligence and reinforcement learning using evolution strategies, A2C, and DDPG

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

What Will I Learn?

• Understand a cutting-edge implementation of the A2C algorithm (OpenAI Baselines)
• Understand and implement Evolution Strategies (ES) for AI
• Understand and implement DDPG (Deep Deterministic Policy Gradient)
• Understand important foundations for OpenAI ChatGPT, GPT-4

Requirements

• Know the basics of MDPs (Markov Decision Processes) and Reinforcement Learning
• Helpful to have seen my first two Reinforcement Learning courses
• Know how to build a convolutional neural network in Tensorflow

Target audience

• Students and professionals who want to apply Reinforcement Learning to their work and projects
• Anyone who wants to learn cutting-edge Artificial Intelligence and Reinforcement Learning algorithms