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Python Reinforcement Learning Projects
book

Python Reinforcement Learning Projects

by Sean Saito, Yang Wenzhuo, Rajalingappaa Shanmugamani
September 2018
Intermediate to advanced
296 pages
9h 10m
English
Packt Publishing
Content preview from Python Reinforcement Learning Projects

Playing Atari Games

an a machine learn how to play video games by itself and beat human players? Solving this problem is the first step toward general artificial intelligence (AI) in the field of gaming. The key technique to creating an AI player is deep reinforcement learning. In 2015, Google's DeepMind, one of the foremost AI/machine learning research teams (who are famous for building AlphaGo, the machine that beat Go champion Lee Sedol) proposed the deep Q-learning algorithm to build an AI player that can learn to play Atari 2600 games, and surpass a human expert on several games. This work made a great impact on AI research, showing the possibility of building general AI systems.

In this chapter, we will introduce how to use gym to play ...

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Publisher Resources

ISBN: 9781788991612