Reinforcement Learning Resources

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

• 10703 (Spring 2018): Deep RL and Control

Arizona State University

• Reinforcement Learning and Optimal Control (January 8-February 21, 2019)

University of Waterloo

• CS885 Spring 2018 – Reinforcement Learning
  • YouTube
• CS885 Spring 2020 – Reinforcement Learning

VideoLecturesNET

• Deep Reinforcement Learning
• RL Category

LangTech

• Deep Reinforcement Learning – Winter 2018/19

Udemy

• Modern Reinforcement Learning: Deep Q Learning in PyTorch

UCL

• Reinforcement Learning (10)

NPTEL

• Reinforcement Learning (65)
  • Instructor Page

Udacity

• Arttificial Intelligence for Robotics
• Reinforcement Learning

Tel-Aviv University

• Reinforcement Learning Spring 2019

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

• CS234: Reinforcement Learning | Winter 2019
• CS 330: Deep Multi-Task and Meta Learning (12)
  • YouTube

Yandex

• Practical RL

Deepmind

• Advanced Deep Learning & Reinforcement Learning (18)
• Introduction to Reinforcement Learning

NUS

• Deep Reinforcement Learning

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

• 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

• Reddit
• StackExchange
• Pytorch
• FastAI RL Group
• AIssays

Podcasts

• TalkRL

Conference Presentations

• Neurips 2019 Deep RL Workshop

Blogs

• Seita’s Place
• RL Notes
• Mpatacchiola’s Blog
• Lillog
• Observable

My Tutorials on RL

• Discount Factor in Reinforcement Learning
• Epsilon-Greedy Algorithm in Bandit Problems
• Expected Value
• Iterative Policy Improvement
• A conceptual look at Bellman operator