April 2018
Intermediate to advanced
334 pages
10h 18m
English
Content preview from Reinforcement Learning with TensorFlow
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Deep Q-network for Atari Breakout in OpenAI gym
The Breakout environment was developed by the team of Nolan Bushnell, Steve Bristow, and Steve Wozniak at Atari, Inc. The Atari Breakout environment has a lot bigger state size compared to what we have seen in mountain car, Cartpole, or Frozen Lake. The state space is in a similar range to what we saw in Atari Pong. Therefore, it takes a long time for the learning to converge. The following screenshot illustrates the initial image frame of the Atari Breakout environment:
Screenshot of the Breakout-v0 environment
The observation space is continuous, contains pixel values of the image frame, and ...
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O’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.
I 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.
I’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.
I'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.