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Deep Reinforcement Learning Hands-On
book

Deep Reinforcement Learning Hands-On

by Oleg Vasilev, Maxim Lapan, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla
June 2018
Intermediate to advanced content levelIntermediate to advanced
546 pages
13h 30m
English
Packt Publishing
Content preview from Deep Reinforcement Learning Hands-On

OpenAI Universe

OpenAI Universe is available in OpenAI's GitHub repository https://github.com/openai/universe and its core idea is to wrap general GUI applications into an RL environment using the same core classes provided by Gym. To achieve this, it uses the VNC protocol to connect with the VNC server running inside the docker container, exposing the mouse and keyboard actions to the RL agent and providing the GUI application image as an observation. The reward is provided by an external small "rewarder" daemon running inside the same container and giving the agent scalar reward value based on this rewarder judgement. It is possible to launch several containers locally, or over the network, to gather episodes data in parallel, in the same way ...

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Publisher Resources

ISBN: 9781788834247Supplemental Content