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

Benchmark summary

I summarized our experiments in the following table. The percentages show the changes versus the baseline version.

...

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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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Step	FPS	Solution time in minutes
Baseline	159	105
Version without `torch.no_grad()`	157 (-1.5%)	115 (+10%)
Three environments	228 (+43%)	44 (-58%)
Parallel version	402 (+152%)	59 (-43%)
Tweaked wrappers, three environments	330 (+108%)	40 (-62%)
Tweaked wrappers, parallel version	409 (+157%)	31 (-70%)

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

Benchmark summary

Unlock this book and the full library FREE for 7 days

Author (1)

TensorFlow Reinforcement Learning Quick Start Guide

Deep Reinforcement Learning with Python

Hands-On Intelligent Agents with OpenAI Gym

Hands-On Q-Learning with Python

PyTorch 1.x Reinforcement Learning Cookbook

TensorFlow 2 Reinforcement Learning Cookbook

Reinforcement Learning Algorithms with Python

Reinforcement Learning with TensorFlow

Hands-On Reinforcement Learning for Games

Mastering Reinforcement Learning with Python

Hands-On Reinforcement Learning with Python

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