June 2018
Intermediate to advanced
546 pages
13h 30m
English
book
Deep Reinforcement Learning Hands-On
by Oleg Vasilev, Maxim Lapan, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla
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Action space
The fundamental and obvious difference with a continuous action space is its continuity. In contrast to a discrete action space, when the action is defined as a discrete mutually exclusive set of options to choose from, the continuous action has a value from some range. On every time step, the agent needs to select the concrete value for the action and pass it to the environment.
In Gym, a continuous action space is represented as the gym.spaces.Box class, which was described in Chapter 2,OpenAI Gym, when we talked about the observation space. You may remember that Box includes a set of values with a shape and bounds. For example, every observation from the Atari emulator was represented as Box(low=0, high=255, shape=(210, 160, 3)) ...
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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.
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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.