Hands-On Reinforcement Learning Course, Part 1 - KDnuggets

This first part covers the bare minimum concept and theory you need to embark on this journey from the fundamentals to cutting edge reinforcement learning (RL), step-by-step, with coding examples and tutorials in Python. In each following chapter, we will solve a different problem with increasing difficulty. Ultimately, the most complex RL problems involve a mixture of reinforcement learning algorithms, optimization, and Deep Learning. You do not need to know deep learning (DL) to follow along with this course. I will give you enough context to get you familiar with DL philosophy and understand how it becomes a crucial ingredient in modern reinforcement learning.