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You're reading from  Hands-On Intelligent Agents with OpenAI Gym

Product typeBook
Published inJul 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788836579
Edition1st Edition
Languages
Python
Tools
OpenAI Gym
Concepts
Artificial Intelligence
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Author (1)
Palanisamy P
Palanisamy P
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Palanisamy P

Praveen Palanisamy works on developing autonomous intelligent systems. He is currently an AI researcher at General Motors R&D. He develops planning and decision-making algorithms and systems that use deep reinforcement learning for autonomous driving. Previously, he was at the Robotics Institute, Carnegie Mellon University, where he worked on autonomous navigation, including perception and AI for mobile robots. He has experience developing complete, autonomous, robotic systems from scratch.
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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...

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Hands-On Intelligent Agents with OpenAI Gym
Published in: Jul 2018Publisher: PacktISBN-13: 9781788836579
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Palanisamy P

Praveen Palanisamy works on developing autonomous intelligent systems. He is currently an AI researcher at General Motors R&D. He develops planning and decision-making algorithms and systems that use deep reinforcement learning for autonomous driving. Previously, he was at the Robotics Institute, Carnegie Mellon University, where he worked on autonomous navigation, including perception and AI for mobile robots. He has experience developing complete, autonomous, robotic systems from scratch.
Read more about Palanisamy P

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