Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library - Softcover

Ahlawat, Samit

Softcover

ISBN 10: 148428836X ISBN 13: 9781484288368

Verlag: APress, 2023

Inhaltsangabe

Chapter 1 Overview 1.1 Methods for Training Neural Networks
Chapter 2 Convolutional Neural Networks 2.1 A Simple CNN 2.2 Identifying Technical Patterns in Security Prices
Chapter 3 Recurrent Neural Networks 3.1 LSTM Network 3.2 LSTM Application: Correlation in Asset Returns
Chapter 4 Reinforcement Learning 4.1 Basics 4.2 Methods For Estimating MDP 4.3 Value Estimation Methods 4.4 Policy Learning 4.5 Actor-Critic Algorithms 4.6; Implementation of algorithms to quantitative finance using TensorFlow - 1
Chapter 5 Recent Advances in Reinforcement Learning Algorithms 5.1 Double Deep Q-Network: DDQN 5.2 Dueling Double Deep Q-Network 5.3 Noisy Networks 5.4 Deterministic Policy Gradient

Details zur Ausgabe

• Verlag: APress
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 148428836X
• ISBN 13: 9781484288368
• Einband: Taschenbuch
• Anzahl der Seiten: 440
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Deutschland