angadhn / aas-18-290-6dof

Code for "Deep Reinforcement Learning for Six Degree-of-Freedom Planetary Powered Descent and Landing"

AAS-18-290-6DOF: Preprint Results

AAS-18-290-6DOF_manuscript: Final Results

Please cite the following paper if you publish work using this code:

@article{gaudet2020deep, title={Deep Reinforcement Learning for Six Degree-of-Freedom Planetary Landing}, author={Gaudet, Brian and Linares, Richard and Furfaro, Roberto}, journal={Advances in Space Research}, year={2020}, publisher={Elsevier} }

Note you may need to run several optimizations to achieve results comparable to that in the paper

virtual environment should include:

Tensorflow

Python 3.5

Matplotlib 2.1.1 (newer versions mess up the plotting in notebook)

Scipy

scikit-learn

jupyter

1.) Download this repository

2.) cd to Run/Run_4km_terminal

3.) open jupyter from the virtual environment

4.) run the notebook