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Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery


Nov 14, 2021
Odhran O'Donoghue, Paul Duckworth, Giuseppe Ughi, Linus Scheibenreif, Kia Khezeli, Adrienne Hoarfrost, Samuel Budd, Patrick Foley, Nicholas Chia, John Kalantari, Graham Mackintosh, Frank Soboczenski, Lauren Sanders

* Machine Learning for Health (ML4H) - Extended Abstract 

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Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs


Oct 25, 2021
Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes


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Risk-Aware Motion Planning in Partially Known Environments


Sep 23, 2021
Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes

* 7 pages, 2 figures, to be published in CDC 2021 

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On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference


Sep 13, 2021
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes

* Presented at the second International Workshop on Active Inference (IWAI 2021); 11 pages, 2 figures 

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Active Inference for Integrated State-Estimation, Control, and Learning


May 12, 2020
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes


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Towards better healthcare: What could and should be automated?


Oct 21, 2019
Wolfgang Frühwirt, Paul Duckworth


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The STRANDS Project: Long-Term Autonomy in Everyday Environments


Oct 14, 2016
Nick Hawes, Chris Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Fäulhammer, Michael Zillich, Markus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomas Krajník, João M. Santos, Tom Duckett, Marc Hanheide


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