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You're reading from Python Reinforcement Learning Projects

Product typeBook

Published inSep 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781788991612

Edition1st Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Reinforcement Learning

Authors (3):

Sean Saito

Yang Wenzhuo

Rajalingappaa Shanmugamani

View More author details

Experiments

The full implementation of the A3C algorithm can be downloaded from our GitHub repository (https://github.com/PacktPublishing/Python-Reinforcement-Learning-Projects). There are three environments in our implementation we can test. The first one is the special game, demo, introduced in Chapter 3, Playing Atari Games. For this game, A3C only needs to launch two agents to achieve good performance. Run the following command in the src folder:

python3 train.py -w 2 -e demo

The first argument, -w, or --num_workers, indicates the number of launched agents. The second argument, -e, or --env, specifies the environment, for example, demo. The other two environments are Atari and Minecraft. For Atari games, A3C requires at least 8 agents running in parallel. Typically, launching 16 agents can achieve better performance:

python3 train.py -w 8 -e Breakout

For Breakout, A3C takes about 2-3 hours to achieve a score of 300. If you have a decent PC with more than 8 cores, it is better to test it...

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Python Reinforcement Learning Projects

Published in: Sep 2018Publisher: PacktISBN-13: 9781788991612

Authors (3)

Sean Saito

Sean Saito is the youngest ever Machine Learning Developer at SAP and the first bachelor hired for the position. He currently researches and develops machine learning algorithms that automate financial processes. He graduated from Yale-NUS College in 2017 with a Bachelor of Science degree (with Honours), where he explored unsupervised feature extraction for his thesis. Having a profound interest in hackathons, Sean represented Singapore during Data Science Game 2016, the largest student data science competition. Before attending university in Singapore, Sean grew up in Tokyo, Los Angeles, and Boston.
Read more about Sean Saito

Yang Wenzhuo

Yang Wenzhuo works as a Data Scientist at SAP, Singapore. He got a bachelor's degree in computer science from Zhejiang University in 2011 and a Ph.D. in machine learning from the National University of Singapore in 2016. His research focuses on optimization in machine learning and deep reinforcement learning. He has published papers on top machine learning/computer vision conferences including ICML and CVPR, and operations research journals including Mathematical Programming.
Read more about Yang Wenzhuo

Rajalingappaa Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
Read more about Rajalingappaa Shanmugamani

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