Overview

This repository contains solutions to exercises from OpenAI Spinning Up in Deep RL.

Plans for the future:

• Implementation of popular Reinforcement Learning algorithms
• Implementation of OpenAI Requests for Research
• Update Resource List
• Create RL Papers Lists

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Reinforcement Learning Resources

Textbooks

• Reinforcement Learning: An Introduction by Sutton and Barto
• Szepesvari, Algorithms for Reinforcement Learning
• Bertsekas, Dynamic Programming and Optimal Control, Vols I and II
• Puterman, Markov Decision Processes: Discrete Stochastic Dynamic Programming
• Powell, Approximate Dynamic Programming

Courses

• CS 294: Deep Reinforcement Learning, Fall 2015
• UCL Course on RL

Blogs & WebSites

• Machine Learning for Humans, Part 5: Reinforcement Learning
• A Beginner's Guide to Deep Reinforcement Learning
• Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networks
• A (Long) Peek into Reinforcement Learning
• Introduction to Reinforcement Learning - OpenAI
• Spinning Up in Deep RL
• Key Papers in Deep RL
• Reinforcement Learning in Robotics: Applications and Real-World Challenges

Other

• OpenAI Environment Leader boards
• OpenAI Baselines
• Harmonja - SAC