Deep Reinforcement Learning in Python - Introduction

Requirements: • Know reinforcement learning basics, MDPs, Dynamic Programming, Monte Carlo, TD Learning • Calculus and probability at the undergraduate level • Experience building machine learning models in Python and Numpy • Know how to build a feedforward, convolutional, and recurrent neural network using Theano and Tensorflow This course is all about the application of deep learning and neural networks to reinforcement learning. If you've taken my first reinforcement learning class, then you know that reinforcement learning is on the bleeding edge of what we can do with AI. Specifically, the combination of deep learning with reinforcement learning has led to AlphaGo beating a world champion in the strategy game Go, it has led to self-driving cars, and it has led to machines that can play video games at a superhuman level. Reinforcement learning has been around since the 70s but none of this has been possible until now. The world is changing at a very fast pace.