Review of Reinforcement Learning in Chrome Dino Game

The intention of this study is to study some implementation of reinforcement learning in the environment of Google Chrome's Dino Game. Different environments were tested on Deep Q network and proximal policy optimization models. Images were provided as inputs in all trials and the highest scores were recorded and analysed to check which algorithm and environment performed better. Further work aims at including more environments and algorithms and performing training on High performance Computers.