Ashwin Rao (USA Stanford University), Tikhon Jelvis

Gebundenes Buch

Foundations of Reinforcement Learning with Applications in Finance

Beschreibung

This book demystifies Reinforcement Learning, and makes it a practically useful tool for those studying and working in applied areas, especially finance. This book seeks to overcome that barrier, and to introduce the foundations of RL in a way that balances depth of understanding with clear, minimally technical delivery.

Autor

Ashwin Rao is the Chief Science Officer of Wayfair, an e-commerce company where he and his team develop mathematical models and algorithms for supply-chain and logistics, merchandising, marketing, search, personalization, pricing and customer service. Ashwin is also an Adjunct Professor at Stanford University, focusing his research and teaching in the area of Stochastic Control, particularly Reinforcement Learning algorithms with applications in Finance and Retail. Previously, Ashwin was a Managing Director at Morgan Stanley and a Trading Strategist at Goldman Sachs. Ashwin holds a Bachelor's degree in Computer Science and Engineering from IIT-Bombay and a Ph.D in Computer Science from University of Southern California, where he specialized in Algorithms Theory and Abstract Algebra. Tikhon Jelvis is a programmer who specializes in bringing ideas from programming languages and functional programming to machine learning and data science. He has developed inventory optimization, simulation and demand forecasting systems as a Principal Scientist at Target and is a speaker and open-source contributor in the Haskell community where he serves on the board of directors for Haskell.org.

Produktdetails

• Chapman & Hall/CRC Mathematics and Artificial Intelligence Series
• Verlag: Taylor & Francis Ltd
• Seitenzahl: 522
• Erscheinungstermin: 16. Dezember 2022
• Englisch
• Abmessung: 260mm x 183mm x 32mm
• Gewicht: 1100g
• ISBN-13: 9781032124124
• ISBN-10: 1032124121
• Artikelnr.: 65611444