AWS DeepRacer
Developer Guide

This is prerelease documentation for a service in preview release. It is subject to change.

Clone a Trained Model to Start a New Training Pass

In this section, you learn how to clone a trained model using the AWS DeepRacer console.

To iterate training the reinforcement learning model using the AWS DeepRacer console

  1. Sign in to the AWS DeepRacer console, if you're not already signed in.

  2. On the Models page, choose a trained model and then choose Clone from the Action drop-down menu list.

  3. For Model details, do the following:

    1. Type RL_model_1 in Model name, if you don't want a name to be generated for the cloned model.

    2. Optionally, give a description for the to-be-cloned model in Model description - optional.

  4. For Environment simulation, choose another track option.

  5. For Reward function, choose Advanced. Modify the reward function, e.g., to consider steering.

  6. Expand Algorithm settings and try different options, e.g., changing Batch size value from 32 to 64 or increasing the Learning rate to speed up the training.

  7. Experiment with difference choices of the Stop conditions. And then choose Start training to begin new round of training.

As with training a robust machine learning model in general, it is important that you conduct systematic experimentation to come up with the best solution.