Skip to Content
Hands-On Reinforcement Learning for Games
book

Hands-On Reinforcement Learning for Games

by Micheal Lanham
January 2020
Intermediate to advanced
432 pages
10h 18m
English
Packt Publishing
Content preview from Hands-On Reinforcement Learning for Games

Exercises

The following is a mix of simple and very difficult exercises. Choose those exercises that you feel appropriate to your interests, abilities, and resources. Some of the exercises in the following list could require considerable resources, so pick those that are within your time/resource budget:

  1. Tune the hyperparameters for sample Chapter_14_learn.py. This sample is a standard deep learning model, but the parameters should be familiar enough to figure out on your own.
  2. Tune the hyperparameters for sample Chapter_14_MetaSGD-VPG.py, as you normally would.
  3. Tune the hyperparameters for sample Chapter_14_Imagination.py. There are a few new hyperparameters in this sample that you should familiarize yourself with.
  4. Tune the hyperparameters ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Reinforcement Learning in Motion

Reinforcement Learning in Motion

phil tabor

Publisher Resources

ISBN: 9781839214936