ll7/adaptivestresstestingtoolbox

A toolbox for worst-case validation of autonomous policies

Adaptive Stress Testing Toolbox

v2020.09.01.0.

Overview

A toolbox for worst-case validation of autonomous policies.

Adaptive Stress Testing is a worst-case validation method for autonomous policies. This toolbox is being actively developed by the Stanford Intelligent Systems Lab.

See https://ast-toolbox.readthedocs.io/en/latest/ for documentation.

Maintained by the Stanford Intelligent Systems Lab (SISL)

• Free software: MIT license

Installation

Pip Installation Method

You can install the latest stable release from pypi:

pip install ast-toolbox

You can also install the latest version with:

pip install git+ssh://git@https://github.com/sisl/AdaptiveStressTestingToolbox.git@master

Using the Go-Explore work requires having a Berkely DB installation findable on your system. If you are on Linux:

sudo apt-get update
sudo apt install libdb-dev python3-bsddb3

If you are on OSX:

brew install berkeley-db
export BERKELEYDB_DIR=$(brew --cellar)/berkeley-db/5.3
export YES_I_HAVE_THE_RIGHT_TO_USE_THIS_BERKELEY_DB_VERSION=1

Once you have the Berkeley DB system dependency met, you can install the toolbox:

pip install ast-toolbox[ge]

Git Installation Method

If you are interested in development, you should clone the repo. You can use https:

git clone https://github.com/sisl/AdaptiveStressTestingToolbox.git

You can also use ssh:

git clone [email protected]:sisl/AdaptiveStressTestingToolbox.git

If you are on Linux, use the following commands to setup the Toolbox:

cd AdaptiveStressTestingToolbox
git submodule update --init --recursive
sudo chmod a+x scripts/install_all.sh
sudo scripts/install_all.sh
source scripts/setup.sh

Documentation

You can find our documentation on readthedocs.

Development

Please see our Contributions Guide.

Acknowledgements

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