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RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning


Apr 26, 2022
Marc Rigter, Bruno Lacerda, Nick Hawes


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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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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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