January 2020
Intermediate to advanced
432 pages
10h 18m
English
Content preview from Hands-On Reinforcement Learning for Games
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Understanding the Bellman equation
Bellman worked on solving finite MDP with DP, and it was during these efforts he derived his famed equation. The beauty behind this equation—and more abstractly, the concept, in general—is that it describes a method of optimizing the value or quality of a state. In other words, it describes how we can determine the optimal value/quality for being in a given state given the action and choices of successive states. Before breaking down the equation itself, let's first reconsider the finite MDP in the next section.
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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.