Some of the agents you'll implement during this course:
This course is a series of articles and videos where you'll master the skills and architectures you need, to
become a deep reinforcement learning expert.
You'll build a strong professional portfolio by implementing awesome agents with Tensorflow and PyTorch that learns to play Space invaders, Minecraft, Starcraft, Sonic the hedgehog and more!
In this first chapter, you'll learn all the essentials concepts you need to master before diving on the Deep Reinforcement Learning algorithms.
In this chapter, you’ll dive deeper into value-based-methods, learn about Q-Learning, and implement our first RL agent which will be a taxi that will need to learn to navigate in a city to transport its passengers from point A to point B 🚖
You'll learn the Deep Q Learning algorithm and how to implement it with Tensorflow and PyTorch.
You'll learn the Actor Critic's logic and how to implement an A2C agent that plays Sonic the Hedgehog with Tensorflow and PyTorch.
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