Date for   Saturday, October 12, 2019 8:00:00 AM - Saturday, October 12, 2019 6:00:00 PM

Intro to Deep Reinforcement Learning with Retro Video Games

Video games are one of the most exciting environments for the future of machine learning. Specifically, reinforcement learning models, that learn through interacting with their environment, have found a true training and testing ground in the world of video games. This is because reinforcement learning, unlike other areas of machine learning, is focused solely on a reward signal and maximizing a specific reward function. So we will first look at some of the recent accomplishments and talk about deep reinforcement learning at the highest levels of engineering like AlphaStar and OpenAi Five. Then we will get hands-on and look at creating our own deep reinforcement learning agents using OpenAI's Gym-Retro environment. This talk will show you how to setup your learning environment, introduce convolutional neural networks inputs for your model (to read the screen), and show you how to build your first deep reinforcement learning model that learns to play a level in Sonic the Hedgehog 2 (and other retro video games).


Artifical Intelligence (AI)

About the session

The session is approved.

The presenter will not allow another presenter.

There are 51 people interested in this session.


Christopher Huie


3:30 PM - 4:30 PM
Calendar File


Heads up!  Log in to sign up to teach or attend this session.
Edit Session