You're reading from Reinforcement Learning Algorithms with Python

Product typeBook

Published inOct 2019

Reading LevelBeginner

PublisherPackt

ISBN-139781789131116

Edition1st Edition

Languages

Python

Concepts

Reinforcement Learning

Author (1)

Andrea Lonza

If you are interested in the paper that introduced the Deterministic Policy Gradient (DPG) algorithm, read: http://proceedings.mlr.press/v32/silver14.pdf.
If you are interested in the paper that introduced the Deep Deterministic Policy Gradient (DDPG) algorithm, read: https://arxiv.org/pdf/1509.02971.pdf.
The paper that presented Twin Delayed Deep Deterministic Policy Gradient (TD3) can be found here: https://arxiv.org/pdf/1802.09477.pdf
For a brief overview of all the main policy gradient algorithms, checkout this article by Lilian Weng: https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html.

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Reinforcement Learning Algorithms with Python

Published in: Oct 2019Publisher: PacktISBN-13: 9781789131116

Author (1)

Andrea Lonza

Andrea Lonza is a deep learning engineer with a great passion for artificial intelligence and a desire to create machines that act intelligently. He has acquired expert knowledge in reinforcement learning, natural language processing, and computer vision through academic and industrial machine learning projects. He has also participated in several Kaggle competitions, achieving high results. He is always looking for compelling challenges and loves to prove himself.
Read more about Andrea Lonza

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Author (1)

TensorFlow Reinforcement Learning Quick Start Guide

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