RyanRizzo96 / Reinforcement-Learning

This repo will contain Implementations of different RL algorithms, worked examples and requests for research from OpenAI.

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