Reinforcement Learning
Coursera
This course provides an overview of reinforcement learning, a type of machine learning that has the potential to solve control system problems that are too difficult to solve with traditional techniques. You'll work through the basics of the reinforcement problem and how it differs from traditional control techniques. You'll also see how neural networks are used to represent unknown functions and how the agent uses rewards from the environment to train them.
More resources on Reinforcement Learning
RL Baselines3 Zoo
Stable-Baselines3 trained agents repo
OpenAI Spinning Up
Practical deep RL guide with code
Sutton & Barto Book (Free PDF)
Official free draft of the bible of RL
3Blue1Brown - RL Chapter (but wait, actually links to Silver)
Visual intro often shared
CS 285: Deep Reinforcement Learning
Learn deep reinforcement learning with Sergey Levine's CS 285 course. Explore cutting-edge algorithms and build intelligent agents!
Deep Reinforcement Learning
Learn Deep Reinforcement Learning with Simon Osindero! Master RL algorithms & build intelligent agents in this comprehensive course.