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
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
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