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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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Risk-Averse Bayes-Adaptive Reinforcement Learning


Feb 10, 2021
Marc Rigter, Bruno Lacerda, Nick Hawes


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Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes


Dec 08, 2020
Marc Rigter, Bruno Lacerda, Nick Hawes

* Long version of paper to appear in AAAI 2021 

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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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Convex Hull Monte-Carlo Tree Search


Mar 23, 2020
Michael Painter, Bruno Lacerda, Nick Hawes

* Camera-ready version of paper accepted to ICAPS 2020, along with relevant appendices 

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Simultaneous Task Allocation and Planning Under Uncertainty


Aug 10, 2018
Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker


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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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