July 2018
Intermediate to advanced
254 pages
8h 12m
English
Content preview from Hands-On Intelligent Agents with OpenAI Gym
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Rewards
A reward, denoted by 
, is usually a scalar quantity that is provided as feedback to the agent to drive its learning. The goal of the agent is to maximize the sum of the reward, and this signal indicates how well the agent is doing at time step 
. The following examples of reward signals for different tasks may help you get a more intuitive understanding:
- For the Atari games we discussed before, or any computer games in general, the reward signal can be +1 for every increase in score and -1 for every decrease in score.
- For stock trading, ...
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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.