April 2017
Intermediate to advanced
320 pages
7h 46m
English
Content preview from Deep Learning with TensorFlow
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Introducing the OpenAI Gym framework
To implement a Q-learning algorithm we'll use the OpenAI Gym framework, which is a TensorFlow compatible toolkit for developing and comparing Reinforcement Learning algorithms.
OpenAI Gym consists of two main parts:
- The Gym open source library: A collection of problems and environments that can be used to test Reinforcement Learning algorithms. All these environments have a shared interface, allowing you to write RL algorithms.
- The OpenAI Gym service: A site and API allowing people to meaningfully compare the performance of their trained agents.
See more references at https://gym.openai.com.
To get started, you'll need to have Python 2.7 or Python 3.5. To install Gym, use the pip installer:
sudo pip ...
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