Reinforcement Learning: The Complete Course in 2022

🎉 [Course Title] Reinforcement Learning: The Complete Course in 2022 🤖

Introduction to AI's Frontier

Reinforcement learning (RL) has emerged as the driving force behind many of the most impressive recent achievements in artificial intelligence. It's a paradigm that goes beyond the traditional supervised and unsupervised machine learning tasks, offering a glimpse into what true general AI could be like. This course will take you on a journey to understand this powerful technique.

The Revolution of Reinforcement Learning

In 2016, Google's AlphaGo beat the world champion in Go, a feat that showcased the potential of RL. We've witnessed AIs playing and mastering video games, driving cars, and even providing taxi services – all without human oversight. These developments are just the tip of the iceberg. The future holds even more groundbreaking applications of RL.

Dive Deep into Reinforcement Learning

This course isn't just another intro to machine learning; it's a deep dive into the world of RL. You'll learn the theoretical underpinnings that make RL different from supervised and unsupervised learning, and you'll discover the fascinating connections between RL and behavioral psychology and neuroscience.

Course Curriculum: A Comprehensive Toolkit

Throughout this course, you'll cover a wide array of topics and tools essential for mastering RL. Here's a sneak peek at what you'll be working with:

• Deep Learning
• Google Colab & Anaconda
• Jupiter Notebook
• Activation Functions, Keras, Pandas, TensorFlow 2.0
• Neural Networks
• Policy Gradients, Actor-Critic Methods
• Monte Carlo and Temporal Difference Learning
• Deep Q Networks (DQN)
• Proximal Policy Optimization (PPO), Trust Region Policy Optimization (TRPO), Soft Actor-Critic (SAC)
• And much more!

Practical Exercises: From Theory to Practice

This course isn't just theoretical. You'll engage with hands-on projects that apply RL concepts to real-world scenarios. These projects are designed to reinforce your learning and give you a portfolio of implementations. Here are the highlights:

1. Robot Control
2. Hill Climbing Game
3. Atari Games
4. Frozen Lake Environment
5. Coin Flipping Gamble (Calculating Pi)
6. Blackjack Game
7. Windy Gridworld Environment Playground
8. Taxi Problem
9. Multi-Armed Bandit (MAB) Problem
10. Mountain Car Environment
11. Online Advertisement Systems
12. Cryptocurrency Trading Agents
13. Building Stock/Share Trading Agents

Learn by Doing

"If you can't implement it, you don't understand it." This adage, attributed to physicist Richard Feynman, is the philosophy behind this course. You won't just be learning RL concepts; you'll be implementing them from scratch, ensuring a deep and intuitive understanding of the algorithms that drive modern AI.

Join Us for an Unparalleled Learning Experience

This course stands out in the crowded landscape of online learning. Unlike other courses that teach you to plug data into libraries, here you'll gain the skills to truly understand and implement deep RL algorithms on your own. Enroll now to embark on a transformative journey through the heart of artificial intelligence. 🚀

See you in class! Let's unlock the potential of reinforcement learning together.