rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Foundations of reinforcement learning with applications in finance
  name:
    name part: Rao, Ashwin
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Jelvis, Tikhon
    role:
      role term: author.
  name:
    name part: EBSCOhost
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2023
    copyright date: 2023
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource ( xxii, 499 pages) : illustrations.
  note: Ashwin Rao, Tikhon Jelvis.
  note: Includes bibliographical references and index.
  note: 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.
  subject:
    topic: Finance
    topic: Study and teaching
  subject:
    topic: Reinforcement learning
  subject:
    topic: MATHEMATICS / Applied
  subject:
    topic: BUSINESS & ECONOMICS / Finance
  subject:
    topic: Finance
    topic: Study and teaching
  subject:
    topic: Reinforcement learning
  classification: HG152 .R36 2023
  classification: 332.076
  related item:
    title info:
      title: Foundations of reinforcement learning with applications in finance
    name:
      name part: Rao, Ashwin.
    origin info:
      publisher: Boca Raton, FL : Chapman & Hall, CRC Press, [2023]
      edition: 1 Edition.
    identifier: (DLC) 2022030498
  identifier: 9781003229193
  identifier: 1003229190
  identifier: 9781000801057
  identifier: 1000801055
  identifier: 9781000801101
  identifier: 1000801101
  identifier: 9781032124124
  identifier: 9781032134291
  identifier: 2022030499
  identifier: 9781003229193 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 220916
    record change date: 20230124144715.7
    record identifier: in00005668713
    language of cataloging:
      language term: eng