diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index b3f46f2040..ed5a20d4fc 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -7,6 +7,7 @@ CHANGELOG
 
 * bug-fix: Append retry id to default Airflow job name to avoid name collisions in retry
 * bug-fix: Local Mode: No longer requires s3 permissions to run local entry point file
+* bug-fix: Local Mode: Move dependency on sagemaker_s3_output from rl.estimator to model
 
 1.16.2
 ======
diff --git a/src/sagemaker/local/image.py b/src/sagemaker/local/image.py
index 75cb58e046..31f130f220 100644
--- a/src/sagemaker/local/image.py
+++ b/src/sagemaker/local/image.py
@@ -317,8 +317,7 @@ def _prepare_training_volumes(self, data_dir, input_data_config, output_data_con
                 volumes.append(_Volume(shared_dir, '/opt/ml/shared'))
 
         parsed_uri = urlparse(output_data_config['S3OutputPath'])
-        if parsed_uri.scheme == 'file' \
-                and sagemaker.rl.estimator.SAGEMAKER_OUTPUT_LOCATION in hyperparameters:
+        if parsed_uri.scheme == 'file' and sagemaker.model.SAGEMAKER_OUTPUT_LOCATION in hyperparameters:
             intermediate_dir = os.path.join(parsed_uri.path, 'output', 'intermediate')
             if not os.path.exists(intermediate_dir):
                 os.makedirs(intermediate_dir)
diff --git a/src/sagemaker/model.py b/src/sagemaker/model.py
index d7b62f31e3..9572b834c0 100644
--- a/src/sagemaker/model.py
+++ b/src/sagemaker/model.py
@@ -257,6 +257,7 @@ def deploy(self, initial_instance_count, instance_type, accelerator_type=None, e
 JOB_NAME_PARAM_NAME = 'sagemaker_job_name'
 MODEL_SERVER_WORKERS_PARAM_NAME = 'sagemaker_model_server_workers'
 SAGEMAKER_REGION_PARAM_NAME = 'sagemaker_region'
+SAGEMAKER_OUTPUT_LOCATION = 'sagemaker_s3_output'
 
 
 class FrameworkModel(Model):
diff --git a/src/sagemaker/rl/estimator.py b/src/sagemaker/rl/estimator.py
index d663b05164..4d8fadb1e9 100644
--- a/src/sagemaker/rl/estimator.py
+++ b/src/sagemaker/rl/estimator.py
@@ -18,7 +18,7 @@
 
 from sagemaker.estimator import Framework
 import sagemaker.fw_utils as fw_utils
-from sagemaker.model import FrameworkModel
+from sagemaker.model import FrameworkModel, SAGEMAKER_OUTPUT_LOCATION
 from sagemaker.mxnet.model import MXNetModel
 from sagemaker.vpc_utils import VPC_CONFIG_DEFAULT
 
@@ -27,7 +27,6 @@
 
 SAGEMAKER_ESTIMATOR = 'sagemaker_estimator'
 SAGEMAKER_ESTIMATOR_VALUE = 'RLEstimator'
-SAGEMAKER_OUTPUT_LOCATION = 'sagemaker_s3_output'
 PYTHON_VERSION = 'py3'
 TOOLKIT_FRAMEWORK_VERSION_MAP = {
     'coach': {