July 2018
Intermediate to advanced
254 pages
8h 12m
English
Content preview from Hands-On Intelligent Agents with OpenAI Gym
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Deep Deterministic Policy Gradients
Deep Deterministic Policy Gradient (DDPG) is an off-policy, model-free, actor-critic algorithm and is based on the Deterministic Policy Gradient (DPG) theorem (proceedings.mlr.press/v32/silver14.pdf). Unlike the deep Q-learning-based methods, actor-critic policy gradient-based methods are easily applicable to continuous action spaces, in addition to problems/tasks with discrete action spaces.
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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.