# Hyperparameter Tuning with Amazon SageMaker AI RL
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You can run a hyperparameter tuning job to optimize hyperparameters for Amazon SageMaker AI RL. The Roboschool example in the sample notebooks in the [SageMaker AI examples repository](https://github.com/awslabs/amazon-sagemaker-examples/tree/master/reinforcement_learning) shows how you can do this with RL Coach. The launcher script shows how you can abstract parameters from the Coach preset file and optimize them.