Ciaburro Keras Reinforcement Learning Projects

9 projects exploring popular reinforcement learning techniques to build self-learning agents
1. Auflage 2024
ISBN: 978-1-78934-797-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 288 Seiten

No detailed description available for "Keras Reinforcement Learning Projects".

Autoren/Hrsg.

Ciaburro, Giuseppe

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - Overview of Keras Reinforcement Learning
- Simulating random walks
- Optimal Portfolio Selection
- Forecasting stock market prices
- Delivery Vehicle Routing Application
- Prediction and Betting Evaluations of coin flips using Markov decision processes
- Build an optimized vending machine using Dynamic Programming
- Robot control system using Deep Reinforcement Learning
- Handwritten Digit Recognizer
- Playing the board game Go

- What is next?

Über Autor(innen)

Ciaburro Giuseppe :

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).