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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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Proximal Policy Optimization

Proximal Policy Optimization (PPO) is a policy gradient-based method and is one of the algorithms that have been proven to be stable as well as scalable. In fact, PPO was the algorithm used by the OpenAI Five team of agents that played (and won) against several human DOTA II players, which we discussed in our previous chapter.

Core concept

In policy gradient methods, the algorithm performs rollouts to collect samples of transitions and (potentially) rewards, and updates the parameters of the policy using gradient descent to minimize the objective function. The idea is to keep updating the parameters to improve the policy until a good policy is obtained. To improve the training stability, the Trust...

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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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