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

Challenges in deep RL

The efforts that have been put into the research of reinforcement learning algorithms in recent years has been huge. Especially since the introduction of the deep neural network as a function approximation, the advancement and results have been outstanding. Yet some major issues remain unsolved. These limit the applicability of RL algorithms to more extensive and interesting tasks. We are talking about the issues of stability, reproducibility, efficiency, and generalization, although scalability and the exploration problem could be added to this list.

Stability and reproducibility

Stability and reproducibility are somehow interconnected with each other as the goal is to design an algorithm that is capable...

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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)

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