EPFL - École Polytechnique Fédérale de Lausanne
Published May 9, 2023 | Version v1
Software Open

Regularization for distributionally robust state estimation and prediction

Authors/Creators

  • 1. EPFL

Description

Simulation script for the paper "Regularization for distributionally robust state estimation and prediction". Run tests/test_cdc.py to reproduce results. Extended versions can be found at https://github.com/DecodEPFL/.

Files

RHSafeMinRegret.zip

Files (166.6 kB)

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md5:dc8399eb85c1be4232d5a2d4c9f13e2f
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Additional details

References

  • Regularization for distributionally robust state estimation and prediction, Arxiv: 2304.09921