Reinforcement Learning

Getting Started

• How to get started with Reinforcement Learning

General Resources

Source: General resources on reinforcement learning

• Spinning Up in RL! - created by OpenAI to serve as introduction to modern Deep RL, I would start here.
• Reinforcement Learning: An Introduction by Sutton and Barto - is the introductory book on RL. It covers very basics and build up from there. Does not cover deep RL.
• David Silver Reinforcement Learning Course (2016) - video lectures aligned with book above. Very well explained, covers basics and some modern deep rl methods. Very fun to watch IMHO.
• Advanced Deep Learning & Reinforcement Learning (2018) - updated version of the above, more slower paced, but some things are better explained in 2016 version IMHO.
• Deep Reinforcement Learning - 2018 paper by Yuxi Li is a recent(ish) survey and overview of the field.

Articles and Applications

• https://medium.com/@junlin.shang/deep-reinforcement-learning-for-solving-rubiks-cube-f091598b3075
• https://medium.com/@yoyo6213/neural-architecture-search-w-reinforcement-learning-b99d7a3c23cb
• https://medium.com/mlearning-ai/reinforcement-learning-snake-algorithm-14a8d20dec7f
• https://medium.com/data-science-in-your-pocket/game-development-using-pygame-reinforcement-learning-with-example-f5b78c768610