Update AWS page #478
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Update AWS page #478
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vincentpierre
approved these changes
Mar 14, 2018
mmattar
reviewed
Mar 14, 2018
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| # Training on Amazon Web Service | ||
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| This page contains instructions for setting up an EC2 instance on Amazon Web Service for use in training ML-Agents environments. Current limitations of the Unity Engine require that a screen be available to render to. In order to make this possible when training on a remote server, a virtual screen is required. We can do this by installing Xorg and creating a virtual screen. Once installed and created, we can display the Unity environment in the virtual environment, and train as we would on a local machine. | ||
| This page contains instructions for setting up an EC2 instance on Amazon Web Service for use in training ML-Agents environments. You can run "headless" training if none of the agents in the environment use visual observations. |
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"use in training ML-Agents environments" --> "training in ML-Agents"
| If all steps worked correctly, upload a built Linux environment executable (with `headless` mode selected during build-time) to the instance, and test it from Python using: | ||
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Contributor
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Which piece isn't needed? The testing section?
jo3w4rd
reviewed
Mar 14, 2018
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| ## Installing ML-Agents | ||
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| 2. Move `python` sub-folder of this repo to remote instance, and set as working directory. |
Collaborator
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Move the python sub-folder of this ml-agents repo to the remote EC2 instance and set it as the working directory.
(Three "the's", an "it", and remove a comma, and add "ml-agents", and adding "EC2" helps as well.)
jo3w4rd
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Mar 14, 2018
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| ## Testing | ||
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| If all steps worked correctly, upload a built Linux environment executable (with `headless` mode selected during build-time) to the instance, and test it from Python using: |
Collaborator
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To verify that all steps worked correctly:
- In the Unity Editor, load a project containing an ML-Agents environment (you can use one of the example environments if you have not created your own).
- Open the Build Settings window (menu: File > Build Settings).
- Select Linux as the Target Platform.
[Editors note: does Architecture matter?]
- Check Headless Mode (unless you have enabled a virtual screen following the instructions below).
- Click Build to build the Unity environment executable.
- Upload the executable to your EC2 instance.
- Test the instance setup from Python using:
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