Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more - Info and Reading Options

By Maxim Lapan

The cover of “Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more” - Open Library.

"Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more" is published by Packt Publishing in Jun 21, 2018 and it has 546 pages.

“Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more” Metadata:

Title: ➤ Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Author: Maxim Lapan
Number of Pages: 546
Publisher: Packt Publishing
Publish Date: Jun 21, 2018

“Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more” Subjects and Themes:

Subjects: ➤ Machine learning - Reinforcement learning - Natural language processing (Computer science) - Artificial intelligence - Natural Language Processing - Artificial Intelligence - Apprentissage par renforcement (Intelligence artificielle) - Apprentissage automatique - Traitement automatique des langues naturelles - Intelligence artificielle - COMPUTERS - General

Edition Identifiers:

The Open Library ID: OL26833401M - OL19542698W
Online Computer Library Center (OCLC) ID: 1046682461
ISBN-13: 9781788834247
ISBN-10: 1788834240
All ISBNs: 1788834240 - 9781788834247

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