July 2018
Intermediate to advanced
254 pages
8h 12m
English
Content preview from Hands-On Intelligent Agents with OpenAI Gym
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SARSA and Q-learning
It is also very useful for an agent to learn the action value function
, which informs the agent about the long-term value of taking action 
in state 
so that the agent can take those actions that will maximize its expected, discounted future reward. The SARSA and Q-learning algorithms enable an agent to learn that! The following table summarizes the update equation for the SARSA algorithm and the Q-learning algorithm:
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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.
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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.