Moved section abut the output image information to it's own section
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@ -18,6 +18,7 @@ In this guide we will outline the requirements needed for running the RLlib inte
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- [__Running on AWS__](#running-on-aws)
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- [Configure AWS](#configure-aws)
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- [Create the training AMI](#create-the-training-ami)
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- [Configure the cluster](#configure-the-cluster)
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- [Run the training](#run-the-training)
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- [Running the DQN example on AWS](#running-the-dqn-example-on-aws)
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@ -159,12 +160,14 @@ Use the provided [`aws_helper.py`][awsHelper] script to automatically create the
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python3 aws_helper.py create-image --name <AMI-name> --installation-scripts <installation-scripts> --instance-type <instance-type> --volume-size <volume-size>
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!!! Note
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There will be an output with information about the ceated image. To use the Ray autoscaler, update the `<ImageId>` and `<SecurityGroupIds>` settings in your [autoscaler configuration file][autoscalerSettings] with the information from the output.
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[awsHelper]: https://github.com/carla-simulator/rllib-integration/blob/main/aws/aws_helper.py
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[installsh]: https://github.com/carla-simulator/rllib-integration/blob/main/aws/install/install.sh
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[autoscalerSettings]: https://docs.ray.io/en/latest/cluster/config.html#quickstart
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#### Configure the cluster
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Once the image is created, there will be an output with image information. To use the Ray autoscaler, update the `<ImageId>` and `<SecurityGroupIds>` settings in your [autoscaler configuration file][autoscalerSettings] with the information from the output.
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[autoscalerSettings]: https://docs.ray.io/en/latest/cluster/config.html
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#### Run the training
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@ -202,7 +205,7 @@ To run the DQN example on AWS:
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[dqnAutoscaler]: https://github.com/carla-simulator/rllib-integration/blob/main/dqn_example/dqn_autoscaler.yaml
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2. Update the `<ImageId>` and `<SecurityGroupIds>` settings in `dqn_autoscaler.yaml` with the information provided by the previous command.
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2. Update the `<ImageId>` and `<SecurityGroupIds>` settings in [`dqn_autoscaler.yaml`][dqnAutoscaler] with the information provided by the previous command.
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3. Initialize the cluster:
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