Following is a list (in progress) of resources on Reinforcement Learning and allied topics. Though not comprehensive, it includes University lectures, YouTube playlists, MOOCs, blogs, etc. Hope this would be useful to someone getting started in reinforcement learning.

UC Berkely

- CS 285 at UC Berkeley Deep Reinforcement Learning (23)
- Deep RL Bootcamp (15)
- CS 294: Deep Reinforcement Learning, Fall 2017 (24)
- CS 294: Deep Reinforcement Learning, Fall 2015 (25)
- CS294 Fall 2018 (25)
- CS 287: Advanced Robotics, Fall 2019 (24)

Carnegie Mellon University

Arizona State University

University of Waterloo

VideoLecturesNET

LangTech

Udemy

UCL

NPTEL

Udacity

Tel-Aviv University

Coursera

- Machine Learning and Reinforcement Learning in Finance Specialization
- Reinforcement Learning for Trading Strategies
- Overview of Advanced Methods of Reinforcement Learning in Finance
- Fundamentals of Reinforcement Learning
- Sample-based Learning Methods
- Prediction and Control with Function Approximation
- A Complete Reinforcement Learning System
- Practical Reinforcement Learning
- Reinforcement Learning in Finance

Stanford

Yandex

Deepmind

NUS

YOUTUBE Playlists

- Reinforcement Learning Day 2019 (8)
- Henry AI Labs
- Advanced Topics in Reinforcement Learning
- CS 287: Advanced Robotics, Fall 2019
- RL class
- ECE 8851 SP20: Reinforcement Learning
- Reinforcement Learning Lectures – Spring 2018
- Deep Reinforcement Learning
- RL Miniseries
- Reinforcement Learning (HMC CS 181V)—Spring, 2020

GitHub Resources

- Awesome RL
- Distributional RL
- Deep Learning Drizzle
- Distributional RL
- Distributional RL in TensorFlow2
- Not-so-deep reinforcement learning
- MLTokyo Deep RL
- Intro to Reinforcement Learning

RL Theory Seminars

Others

- Spinning UP RL
- Bandit Algorithms
- Simon Thomas
- A Beginner’s Guide to Deep Reinforcement Learning
- RL Seminar Spring 2019
- RLAI

Online Groups

Podcasts

Conference Presentations

Blogs

My Tutorials on RL