The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
- Login to your AWS account.
- Search for
SageMaker
- Click
Notebook instances
- Enter notebook name of your choice โ choose instance type
ml.t2.medium
- Create a new IAM role if required. Also attach
AmazonEC2ContainerRegistryPowerUser
policy to the role. See guide for adding permissions to an IAM Role. - Under
Git repositories
, clickAdditional repository
โ SelectClone a Public repo
and enterhttps://github.com/awslabs/or-rl-benchmarks.git
- Click
Create Notebook
and wait for the instance to come up. - Once the instance is ready, select it and click
Open Jupyter
- Above step will load this repository and then you can follow the python notebooks for each problem.
This is a joint work of -
Bharathan Balaji @bbalaji-ucsd
Jordan Bell-Masterson
Enes Bilgin
Andreas Damianou @adamian
Pablo Moreno Garcia
Arpit Jain @arpitjain2811
Runfei Luo @annaluo676
Alvaro Maggiar
Balakrishnan Narayanaswamy
Chun Ye
This sample code is made available under the MIT-0 license. See the LICENSE file.