Material for Reinforcement Learning Workshop
Video resource: David Silver's Course on Youtube. This is one the best material to start learning reinforcement learning.
Book: Reinforcement Learning: An Introduction by Richard Sutton. This book is also one of the best to build your fundamentals in RL.
Notes: This folder has notes used by david silver during his course. We will also be following this.
My Notes: I made them while I was studying the concepts of RL. you can refer them for pseudo codes and maths. If you dont understand them just make an issue and I will answer the questions.
Blogs: This list of blogs will be updated regularly .. ;)
- https://blog.openai.com/evolution-strategies/
- https://www.youtube.com/watch?v=D58nLNLkb0I
- https://medium.com/@jonathan_hui/rl-introduction-to-deep-reinforcement-learning-35c25e04c199 This contains summary about every RL Algorithm we will study.
- Also follow me I am going to publish a RL blog series. https://medium.com/@ujjwal.9
- https://kofzor.github.io/Learning_Value_Functions/
Signup for https://software.intel.com/en-us/ai-academy/devcloud And clone this repo directly into it.
This link https://software.intel.com/en-us/articles/getting-started-with-the-intel-ai-devcloud will help you understand how it works and setup process.
Install python3 and then install requirements using this command
pip install -r requirements.txt