You're reading from Deep Reinforcement Learning Hands-On. - Second Edition

Product typeBook

Published inJan 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781838826994

Edition2nd Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Deep Reinforcement Learning

Author (1)

Maxim Lapan

Optimality and God's number

What makes the combinatorial optimization problem tricky is that we're not looking for any solution; we're in fact interested in the optimal solution of the problem. The difference is obvious: right after the Rubik's Cube was invented, it was known how to reach the goal state (but it took Ernő Rubik about a month to figure out the first method of solving his own invention, which I guess was a frustrating experience). Nowadays, there are lots of different ways or schemes of cube solving: the beginner's method, the method by Jessica Fridrich (very popular among speedcubers), and so on.

All of them vary by the amount of moves to be taken. For example, a very simple beginner's method requires about 100 rotations to solve the cube using 5…7 sequences of rotations to be memorized. In contrast, the current world record in the speedcubing competition is solving the cube in 4.22 seconds, which requires much fewer steps...

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Deep Reinforcement Learning Hands-On. - Second Edition

Published in: Jan 2020Publisher: PacktISBN-13: 9781838826994

Author (1)

Maxim Lapan

Maxim has been working as a software developer for more than 20 years and was involved in various areas: distributed scientific computing, distributed systems and big data processing. Since 2014 he is actively using machine and deep learning to solve practical industrial tasks, such as NLP problems, RL for web crawling and web pages analysis. He has been living in Germany with his family.
Read more about Maxim Lapan

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You're reading from Deep Reinforcement Learning Hands-On. - Second Edition

Optimality and God's number

Unlock this book and the full library FREE for 7 days

Author (1)

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