Download Simstar from the link:

https://drive.google.com/open?id=1Gp-XXnOX9dbDcfqFJNJ4UtZqo9sWqjUg

A new version of SimStar is released. It has fixed step with syncronized mode and faster simulation features. A more detailed envrironment update can be found in GymEnv/Readme.md!

Python API also has been updated for this new release, you need to install Python API again.

Just click on Simstar.exe and Simstar is ready

cd Simstar

chmod 777 -R *

./Simstar.sh

Create a new environment using anaconda.

conda env create --file environment.yml

conda activate final604

Install required python libraries from requirements.txt by

pip install -r requirements.txt

Follow the official guide from the link.

The final evaluation will be using pytorch version 1.5 and CUDA version 10.2.

  cd PythonAPI

  python setup.py install

There are multiple stages that needs to be checked.

Open the simstar executable, allow for networking if asked.

Run the following with success.

cd PythonAPI

python python_api_intro.py

cd GymEnv

python example_experiment.py

To test a closed loop training with Pytorch, you can run the example DDPG agent from examples folder.

cd examples/pytorch

python train.py