Book Image

Hands-On Intelligent Agents with OpenAI Gym

By : Palanisamy P
Book Image

Hands-On Intelligent Agents with OpenAI Gym

By: Palanisamy P

Overview of this book

Many real-world problems can be broken down into tasks that require a series of decisions to be made or actions to be taken. The ability to solve such tasks without a machine being programmed requires a machine to be artificially intelligent and capable of learning to adapt. This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks. Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting from the implementation of the building blocks for configuring, training, logging, visualizing, testing, and monitoring the agent. You will walk through the process of building intelligent agents from scratch to perform a variety of tasks. In the closing chapters, the book provides an overview of the latest learning environments and learning algorithms, along with pointers to more resources that will help you take your deep reinforcement learning skills to the next level.
Table of Contents (12 chapters)

Understanding what AI means and what's in it in an intuitive way

The intelligence demonstrated by humans and animals is called natural intelligence, but the intelligence demonstrated by machines is called AI, for obvious reasons. We humans develop algorithms and technologies that provide intelligence to machines. Some of the greatest developments on this front are in the fields of machine learning, artificial neural networks, and deep learning. These fields collectively drive the development of AI. There are three main types of machine learning paradigms that have been developed to some reasonable level of maturity so far, and they are the following:

  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning

In the following diagram, you can get an intuitive picture of the field of AI. You can see that these learning paradigms are subsets of the field of machine learning...