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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
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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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Exploring the challenges in multi-agent reinforcement learning

In the earlier chapters in this book, we discussed many challenges in reinforcement learning. In particular, the dynamic programming methods we initially introduced are not able to scale to problems with complex and large observation and action spaces. Deep reinforcement learning approaches, on the other hand, although capable of handling complex problems, lack theoretical guarantees and therefore required many tricks to stabilize and converge. Now that we talk about problems in which there are more than one agent learning, interacting with each other, and affecting the environment; the challenges and complexities of single-agent RL are multiplied. For this reason, many results in MARL are empirical.

In this section, we discuss what makes MARL specifically complex and challenging.

Non-stationarity

The mathematical framework behind single-agent RL is the Markov decision process (MDP), which establishes that the...

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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