bandits_movielens_testbed.ipynb failed CI

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/reinforcement_learning/bandits_recsys_movielens_testbed/bandits_movielens_testbed.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [10]":
---------------------------------------------------------------------------
Exception Traceback (most recent call last)
in
10 )
11
---> 12 estimator.fit(inputs={"movielens": movielens_data_s3_path}, wait=True)

/opt/conda/lib/python3.7/site-packages/sagemaker/estimator.py in fit(self, inputs, wait, logs, job_name, experiment_config)
667 self._prepare_for_training(job_name=job_name)
668
--> 669 self.latest_training_job = _TrainingJob.start_new(self, inputs, experiment_config)
670 self.jobs.append(self.latest_training_job)
671 if wait:

/opt/conda/lib/python3.7/site-packages/sagemaker/estimator.py in start_new(cls, estimator,

[...]

Exception: Failed to run docker,images,-q,462105765813.dkr.ecr.us-west-2.amazonaws.com/sagemaker-rl-vw-container:adf

Open reinforcement_learning/bandits_recsys_movielens_testbed/bandits_movielens_testbed.ipynb and inspect cell In [10], where estimator.fit fails while invoking the SageMaker RL container. Reproduce the CI failure and trace the docker command error; the work is done when the notebook runs successfully in CI.

Written by the indexing model from the issue text.