A tutorial to build a Reinforcement Learning model
A 2013 publication by DeepMind titled ‘Playing Atari with Deep Reinforcement Learning’ introduced a new deep learning model for reinforcement learning, and demonstrated its ability to master difficult control policies for Atari 2600 computer games, using only raw pixels as input. In this tutorial, I will implement this paper using Keras. We'll start with the basics of Reinforcement Learning and then dive into the code for a hands-on understanding.
This is a companion discussion topic for the original entry at https://blog.paperspace.com/dino-run/