This repository contains from scratch implementations of prominent reinforcement learning techniques using using Tensorflow 2, Open AI Gym and potentially other environmemts. Each algorithm will be paired with a video explanation. Although I will do my best to test and debug these codes, I will likely do little hyperparameter optimization (something that is sometimes critical for DRL). Think of these are being primarily educational and potentially a good place to jump off from for research projects (since they will focus on efficient/minimize lines of code and will be contained in single files).
For a slightly more thorough explanation see the previous readme.
- Q Learning video link