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You're reading from  Mastering Reinforcement Learning with Python

Product typeBook
Published inDec 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781838644147
Edition1st Edition
Languages
Python
Tools
PyTorch
Concepts
Reinforcement Learning
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Author (1)
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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Challenges in meta-reinforcement learning

The main challenges regarding meta-RL, following (Rakelly, 2019), are as follows:

  • Meta-RL requires a meta-training step over various tasks, which are usually hand-crafted. A challenge here is to create an automated procedure to generate these tasks.
  • The exploration phase that is supposed to be learned during meta-training is in practice is not efficiently learned.
  • Meta-training involves sampling from an independent and identical distribution of tasks, which is not a realistic assumption. So, one goal is to make meta-RL more "online" by making it learn from a stream of tasks.

In addition to these challenges, it is important to note meta-RL methods will not work as well as the other methods, such as domain randomization, in complex tasks like robot hand manipulation. As the research in this area progresses, we can expect to see this gap to decrease and meta-RL make its way to mainstream with its unique advantages...

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Mastering Reinforcement Learning with Python
Published in: Dec 2020Publisher: PacktISBN-13: 9781838644147
© 2020 Packt Publishing Limited All Rights Reserved

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

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