Have a personal or library account? Click
here
to login
Paradigm
reference-global.com
Content
Services
Paradigm
Partners
Contact
Books
Hands-On Intelligent Agents with OpenAI Gym
Hands-On Intelligent Agents with OpenAI Gym
Your guide to developing AI agents using deep reinforcement learning
Publisher:
Packt Publishing Limited
By:
Palanisamy P
Paid access
|
Aug 2018
Product purchase options
E-Book
€25.99
Institutions
€123.95
Product purchase options
E-Book
€25.99
Institutions
€123.95
Description
Table of contents
Authors
Resources
Metrics
Loading...
Table of Contents
Introduction to Intelligent Agents and Learning Environments
Reinforcement Learning and Deep Reinforcement Learning
Getting Started with OpenAI Gym and Deep Reinforcement Learning
Exploring the Gym and its Features
Implementing your First Learning Agent
Implementing an Intelligent Agent for Optimal Control using Deep Q-Learning
Creating Custom OpenAI Gym Environments
Implementing an Intelligent & Autonomous Car Driving Agent using Deep Actor-Critic Algorithm
Exploring the Learning Environment Landscape
Exploring the Learning Algorithm Landscape
Loading...
Loading...
Loading...
PDF ISBN:
978-1-78883-513-8
Publisher:
Packt Publishing Limited
Copyright owner:
© 2018 Packt Publishing Limited
Publication date:
2018
Language:
English
Pages:
254
Related subjects:
Computer sciences
,
Artificial intelligence
People also read
Publications carousel
Previous slide
Next slide
Book
Deep Reinforcement Learning Hands-On
Lapan, Maxim
Book
Hands-On Reinforcement Learning with Python
Ravichandiran, Sudharsan
Book
Learn Unity ML-Agents ??? Fundamentals of Unity Machine Learning
Book
Deep Reinforcement Learning with Python
Ravichandiran, Sudharsan
Book
Reinforcement Learning with TensorFlow
Dutta, Sayon
Book
Hands-On Reinforcement Learning for Games
Lanham, Micheal
Book
Practical Deep Reinforcement Learning with Python
Gridin, Ivan
Book
Deep Reinforcement Learning Hands-On
Lapan, Maxim
Book
Reinforcement Learning Algorithms with Python
Lonza, Andrea
Book
Hands-On Deep Learning for Games
Lanham, Micheal