Deep Reinforcement Learning in Action

• Verfasst von: Brown, Brandon [VerfasserIn]
• Verfasst von: Zai, Alexander [VerfasserIn]
• Titel: Deep Reinforcement Learning in Action
• Institutionen: Safari, an O’Reilly Media Company.
• Verf.angabe: Brown, Brandon
• Ausgabe: 1st edition
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: Manning Publications
• Jahr: 2020
• Umfang: 1 online resource (384 pages)
• Fussnoten: Online resource; Title from title page (viewed March 29, 2020)
• ComputerInfo: Mode of access: World Wide Web.
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Electronic books ; local
• K10plus-PPN: 1694869598
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3624849875
• Lokale URL Inst.: Zum Volltext

Abstract

Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you’ll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you’ll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym.