July 2018
Intermediate to advanced
254 pages
8h 12m
English
Content preview from Hands-On Intelligent Agents with OpenAI Gym
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Understanding the Gym interface
Let's continue our Gym exploration by understanding the interface between the Gym environment and the agents that we will develop. To help us with that, let's have another look at the picture we saw in Chapter 2, Reinforcement Learning and Deep Reinforcement Learning, when we were discussing the basics of reinforcement learning:
Did the picture give you an idea about the interface between the agent and the environment? We will make your understanding secure by going over the description of the interface.
After we import gym , we make an environment using the following line of code:
env = gym.make("ENVIRONMENT_NAME") ...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,
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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.
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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.