Paul Duckworth

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Venues

University of Leeds, UK (PHD)

Education History

University of Leeds, UK

PHD

Publications

Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries P. Smit, Nathan Grinsztajn, Raphaël Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. ICLR (2024)
Matthew V. Macfarlane, Edan Toledo, Donal Byrne, Siddarth Singh, Paul Duckworth, Alexandre Laterre
SMX: Sequential Monte Carlo Planning for Expert Iteration. CoRR (2024)
Alex Stephens, Matthew Budd, Michal Staniaszek, Benoit Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda
Planning under uncertainty for safe robot exploration using Gaussian process prediction. Auton. Robots 48 (6-7) (2024)
Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes
Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. ECAI (2023)
Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Vincent Coyette, Paul Duckworth, Laurence I. Midgley, Tristan Kalloniatis, Sasha Abramowitz, Cemlyn N. Waters, Andries P. Smit, Nathan Grinsztajn, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphaël Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. CoRR (2023)
Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner
DITTO: Offline Imitation Learning with World Models. CoRR (2023)
Andries P. Smit, Paul Duckworth, Nathan Grinsztajn, Kale-ab Tessera, Thomas D. Barrett, Arnu Pretorius
Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A. CoRR (2023)
Tom Henry Waddell, Ana I. L. Namburete, Paul Duckworth, Dan Cuthbertson, Celeste Mccracken, Michael Brady
The impact of projected increases in obesity prevalence on incident liver disease in the UK: Insights from Bayesian-network modelling. ICMHI (2023)
Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
Planning for Risk-Aversion and Expected Value in MDPs. ICAPS (2022)
Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda
Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. CoRL (2022)
Matthew Budd, Georgios Salavasidis, Izzat Karnarudzaman, Catherine A. Harris, Alexander B. Phillips, Paul Duckworth, Nick Hawes, Bruno Lacerda
Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks. IROS (2022)
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
Active Inference for Integrated State-Estimation, Control, and Learning. ICRA (2021)
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. CoRR (2021)
Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs. CoRR (2021)
Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes
Risk-Aware Motion Planning in Partially Known Environments. CDC (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 M. Sanders
Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery. CoRR (2021)
Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes
Risk-Aware Motion Planning in Partially Known Environments. CoRR (2021)
Alex Rutherford, Paul Duckworth, Nick Hawes, Bruno Lacerda
Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes. ECMR (2021)
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. PKDD/ECML Workshops (1) (2021)
Paul Duckworth, Bruno Lacerda, Nick Hawes
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. CoRL (2020)
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
Active Inference for Integrated State-Estimation, Control, and Learning. CoRR (2020)
Matthew Budd, Bruno Lacerda, Paul Duckworth, Andrew West, Barry Lennox, Nick Hawes
Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes. IROS (2020)
Paul Duckworth, David C. Hogg, Anthony G. Cohn
Unsupervised human activity analysis for intelligent mobile robots. Artif. Intell. 270 (2019)
Paul Duckworth, Logan Graham, Michael A. Osborne
Inferring Work Task Automatability from AI Expert Evidence. AIES (2019)
Wolfgang Frühwirt, Paul Duckworth
Towards better healthcare: What could and should be automated? CoRR (2019)
Paul Duckworth
Unsupervised Human Activity Analysis for Intelligent Mobile Robot. Künstliche Intell. 32 (4) (2018)
Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn
Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision. AAAI Spring Symposia (2017)
Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn
Natural Language Acquisition and Grounding for Embodied Robotic Systems. AAAI (2017)
Muhannad Al-Omari, Paul Duckworth, Nils Bore, Majd Hawasly, David C. Hogg, Anthony G. Cohn
Grounding of Human Environments and Activities for Autonomous Robots. IJCAI (2017)
Muhannad Al-Omari, Paul Duckworth, Majd Hawasly, David C. Hogg, Anthony G. Cohn
Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands. RoboNLP@ACL (2017)
Nick Hawes, Christopher Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide
The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 24 (3) (2017)
Paul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn
Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot. AAAI (2017)
Nick Hawes, Chris Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Muhannad Al-Omari, Eris Chinellato, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide
The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR (2016)
Paul Duckworth, Muhannad Al-Omari, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn
Unsupervised Activity Recognition Using Latent Semantic Analysis on a Mobile Robot. ECAI (2016)
Paul Duckworth, Yiannis Gatsoulis, Ferdian Jovan, Nick Hawes, David C. Hogg, Anthony G. Cohn
Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot. AAMAS (2016)

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Publication Activity (10 Years)

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Top Venues

Paul Duckworth