Description: Further DetailsTitle: Reinforcement LearningCondition: NewEAN: 9781098114831ISBN: 9781098114831Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 11/30/2020Item Height: 233mmItem Length: 178mmAuthor: Phil Winder Ph.D.Language: EnglishSubtitle: Industrial Applications of Intelligent AgentsDescription: Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself.Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML.Learn what RL is and how the algorithms help solve problemsBecome grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learningDive deep into a range of value and policy gradient methodsApply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learningUnderstand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and moreGet practical examples through the accompanying websiteCountry/Region of Manufacture: USGenre: Computing & InternetRelease Year: 2020 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Reinforcement Learning
Title: Reinforcement Learning
EAN: 9781098114831
ISBN: 9781098114831
Release Date: 11/30/2020
Release Year: 2020
Subtitle: Industrial Applications of Intelligent Agents
Country/Region of Manufacture: US
Genre: Computing & Internet
Number of Pages: 350 Pages
Language: English
Publication Name: Reinforcement Learning : Industrial Applications of Intelligent Agents
Publisher: O'reilly Media, Incorporated
Item Height: 0.8 in
Subject: Enterprise Applications / Business Intelligence Tools, Machine Theory, Intelligence (Ai) & Semantics, General
Publication Year: 2020
Type: Textbook
Item Weight: 24.3 Oz
Subject Area: Computers, Science
Item Length: 9 in
Author: Phil Winder
Item Width: 7.1 in
Format: Trade Paperback