Foundations of Reinforcement Learning with Applications in Finance (Hardcover)

Features Focus on the foundational theory underpinning Reinforcement Learning Suitable as a primary text for courses in Reinforcement Learning, but also as supplementary reading for applied/financial mathematics, programming, and other related courses Suitable for a professional audience of quantitative analysts or industry specialists Blends theory/mathematics, programming/algorithms and real-world financial nuances while always striving to maintain simplicity and to build intuitive understanding.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	December 2022
First published:	2023
Authors:	Ashwin Rao • Tikhon Jelvis
Dimensions:	254 x 178 x 35mm (L x W x T)
Format:	Hardcover
Pages:	500
ISBN-13:	978-1-03-212412-4
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > Computer programming > Software engineering Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Computer programming > Programming languages > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-03-212412-1
Barcode:	9781032124124

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