Foundations of Deep Reinforcement Learning : Theory and Practice in Python (Record no. 51474)

MARC details
000 -LEADER
fixed length control field 01366 a2200181 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250912103745.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789390394852
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 GRA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Graesser, Laura
245 ## - TITLE STATEMENT
Title Foundations of Deep Reinforcement Learning : Theory and Practice in Python
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Pearson India Education Services Pvt. Ltd.
Place of publication, distribution, etc Noida
Date of publication, distribution, etc 2022
300 ## - PHYSICAL DESCRIPTION
Extent 379
520 ## - SUMMARY, ETC.
Summary, etc Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games-such as Go, Atari games, and DotA 2-to robotics.<br/><br/><br/>Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work.<br/><br/>This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep learning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Keng, Wah Loon
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.