Dutta Reinforcement Learning with TensorFlow

A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
1. Auflage 2018
ISBN: 978-1-78883-071-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 334 Seiten

No detailed description available for "Reinforcement Learning with TensorFlow".

Autoren/Hrsg.

Dutta, Sayon

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Deep Learning

- Training Reinforcement Learning Agents Using OpenAI Gym
- Markov Decision Process (MDP)
- Policy Gradients
- Q-Learning & Deep Q Networks

- Asynchronous Methods
- Robo Everything

- AlphaGo

- Reinforcement Learning in Autonomous Driving
- Financial Portfolio Management
- Reinforcement Learning in Robotics

- Deep Reinforcement Learning in AdTech
- Reinforcement Learning in Image Processing
- Deep Reinforcement Learning in NLP
- Appendix 1.Further topics in Reinforcement Learning

Über Autor(innen)

Dutta Sayon:

Sayon Dutta is an Artificial Intelligence researcher and developer. A graduate from IIT Kharagpur, he owns the software copyright for Mobile Irrigation Scheduler. At present, he is an AI engineer at Wissen Technology. He co-founded an AI startup Marax AI Inc., focused on AI-powered customer churn prediction. With over 2.5 years of experience in AI, he invests most of his time implementing AI research papers for industrial use cases, and weightlifting.