MuonPOMDPs.jl

Muon tomography modeled as a POMDP using POMDPs.jl. Collaboration between Stanford Mineral-X, Ideon, and the Stanford Intelligent Systems Laboratory (SISL).

Uses the inversion variational autoencoder (I-VAE) developed for this project (sisl/I-VAE)

See the notebooks/i-vae.ipynb notebook for usage.

Drill Locations	Cross Sections

Belief Updating

Radiography

Setup

Install Python dependencies:

pip install -r python/requirements.txt

Acknowledgement

We want to thank Ideon Technologies for providing the muon tomography observation simulation code.