TensorFlow 2 Reinforcement Learning Cookbook Over 50 Recipes to Help You Build, Train, and Deploy Learning Agents for Real-World Applications.

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This cookbook will help you to gain a solid understanding of deep reinforcement learning (RL) algorithms with the help of concise, easy-to-follow implementations from scratch. You'll learn how to implement these algorithms with minimal code and develop AI applications to solve real-world and bu...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Palanisamy, Praveen
Format: Electronic eBook
Language:Inglés
Published: Birmingham : Packt Publishing, Limited, 2021.
Subjects:
TensorFlow.
Machine learning.
Apprentissage automatique.
Machine learning
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Table of Contents Developing building blocks for Deep RL using TensorFlow 2.x Implementing value-based, policy gradients and actor-critic Deep RL algorithms Implementing Advanced Deep RL algorithms RL in real-world: Building intelligent trading agents RL in Real-World: Building Stock Trading Agents RL in real-world: Building intelligent agents to complete your ToDos Deploying Deep RL Agents to the Cloud Building cross-platform (web, desktop, mobile) Deep-RL Apps using TensorFlow 2.x Distributed training and automated production deployment pipeline for Deep RL Apps.

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