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You're reading from  Mastering Reinforcement Learning with Python

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Published inDec 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781838644147
Edition1st Edition
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Enes Bilgin
Enes Bilgin
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Enes Bilgin

Enes Bilgin works as a senior AI engineer and a tech lead in Microsoft's Autonomous Systems division. He is a machine learning and operations research practitioner and researcher with experience in building production systems and models for top tech companies using Python, TensorFlow, and Ray/RLlib. He holds an M.S. and a Ph.D. in systems engineering from Boston University and a B.S. in industrial engineering from Bilkent University. In the past, he has worked as a research scientist at Amazon and as an operations research scientist at AMD. He also held adjunct faculty positions at the McCombs School of Business at the University of Texas at Austin and at the Ingram School of Engineering at Texas State University.
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Implementing scalable deep Q-learning algorithms using Ray

In this section, we will implement a parallelized DQN variate using the Ray library. Ray is a powerful, general-purpose, yet simple framework for building and running distributed applications on a single machine as well as on large clusters. Ray has been built for applications that have heterogenous computational needs in mind. This is exactly what modern DRL algorithms require as they involve a mix of long and short running tasks, usage of GPU and CPU resources, and more. In fact, Ray itself has a powerful RL library that is called RLlib. Both Ray and RLlib have been increasingly adopted in academia and industry.

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For a comparison of Ray to other distributed backend frameworks such as Spark and Dask, see https://bit.ly/2T44AzK. You will see that Ray is a very competitive alternative, even beating Python's own multiprocessing implementation in some benchmarks.

Writing a production-grade distributed application...

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Mastering Reinforcement Learning with Python
Published in: Dec 2020Publisher: PacktISBN-13: 9781838644147

Author (1)

author image
Enes Bilgin

Enes Bilgin works as a senior AI engineer and a tech lead in Microsoft's Autonomous Systems division. He is a machine learning and operations research practitioner and researcher with experience in building production systems and models for top tech companies using Python, TensorFlow, and Ray/RLlib. He holds an M.S. and a Ph.D. in systems engineering from Boston University and a B.S. in industrial engineering from Bilkent University. In the past, he has worked as a research scientist at Amazon and as an operations research scientist at AMD. He also held adjunct faculty positions at the McCombs School of Business at the University of Texas at Austin and at the Ingram School of Engineering at Texas State University.
Read more about Enes Bilgin