fanyangr/chester

Costumized tool aiming at launching and organizing (RL/DL) experiments.

Chester

Chester is a tool aiming at automatically launching experiments. This tool based on rllab(https://github.com/rll/rllab ), and further extended for launching and retrieving experiments in different remote machines, including:

1. Seuss
2. PSC (Pittsburgh Super Computing)

Getting Started

We've provided an example for launching experiments of openai/baseline's DDPG algorithm.

Look into the /examples, you'll find 'train_luanch.py' and 'train.py'. 'train.py' is the parser where we copied a lot of codes in openai/baseline/ddpg/main.py and combined them as a function 'run_task'. 'run_task' receives the parameters and start running the DDPG algorithm with those given settings.

The launcher 'train_launch.py' uses our chester and the 'run_task' function to launch a group of experiments locally. By running this launcher, the group experiments are started and the resutls are contained in one given folder. Those result files are able to be visulized with rllab's viskit.

To support different options in visulization, chester provided self-written interface 'preset.py'. The author can write different custom splitters in this file and put it in the directory for experiments. The viskit tool can detect this preset file and apply different options.

Prerequisites

What things you need to install the software and how to install them

Give examples

Installation

A step by step series of examples that tell you how to get a development env running

Say what the step will be

Give the example

And repeat

until finished

End with an example of getting some data out of the system or using it for a little demo

Running the tests

Explain how to run the automated tests for this system

Break down into end to end tests

Explain what these tests test and why

Give an example

And coding style tests

Explain what these tests test and why

Give an example

Deployment

Add additional notes about how to deploy this on a live system

Built With

• Dropwizard - The web framework used
• Maven - Dependency Management
• ROME - Used to generate RSS Feeds

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

• Billie Thompson - Initial work - PurpleBooth

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Hat tip to anyone whose code was used
• Inspiration
• etc