Paul Duckworth

According to our database, Paul Duckworth authored at least 36 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Correction: Planning under uncertainty for safe robot exploration using gaussian process prediction.

Alex Stephens, Matthew Budd, Michal Staniaszek, Benoit Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda

Auton. Robots, December, 2024

Planning under uncertainty for safe robot exploration using Gaussian process prediction.

Alex Stephens, Matthew Budd, Michal Staniaszek, Benoit Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda

Auton. Robots, August, 2024

Metalic: Meta-Learning In-Context with Protein Language Models.

Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau Luis, Paul Duckworth

CoRR, 2024

SMX: Sequential Monte Carlo Planning for Expert Iteration.

Matthew V. Macfarlane, Edan Toledo, Donal Byrne, Siddarth Singh, Paul Duckworth, Alexandre Laterre

CoRR, 2024

Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs.

Andries P. Smit, Nathan Grinsztajn, Paul Duckworth, Thomas D. Barrett, Arnu Pretorius

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk.

T. Waddell, Ana I. L. Namburete, Paul Duckworth, N. Eichert, H. Thomaides-Brears, D. J. Cuthbertson, J. P. Despres, Michael Brady

Frontiers Bioinform., May, 2023

Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A.

Andries P. Smit, Paul Duckworth, Nathan Grinsztajn, Kale-ab Tessera, Thomas D. Barrett, Arnu Pretorius

CoRR, 2023

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX.

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

CoRR, 2023

DITTO: Offline Imitation Learning with World Models.

Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner

CoRR, 2023

The impact of projected increases in obesity prevalence on incident liver disease in the UK: Insights from Bayesian-network modelling.

Tom Henry Waddell, Ana I. L. Namburete, Paul Duckworth, Dan Cuthbertson, Celeste Mccracken, Michael Brady

Proceedings of the 7th International Conference on Medical and Health Informatics, 2023

Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces.

Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks.

Matthew Budd, Georgios Salavasidis, Izzat Karnarudzaman, Catherine A. Harris, Alexander B. Phillips, Paul Duckworth, Nick Hawes, Bruno Lacerda

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments.

Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda

Proceedings of the Conference on Robot Learning, 2022

Planning for Risk-Aversion and Expected Value in MDPs.

Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

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

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

CoRR, 2021

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

Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes

CoRR, 2021

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

Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

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

Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes.

Alex Rutherford, Paul Duckworth, Nick Hawes, Bruno Lacerda

Proceedings of the 10th European Conference on Mobile Robots, 2021

Risk-Aware Motion Planning in Partially Known Environments.

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

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes.

Matthew Budd, Bruno Lacerda, Paul Duckworth, Andrew West, Barry Lennox, Nick Hawes

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes.

Paul Duckworth, Bruno Lacerda, Nick Hawes

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Towards better healthcare: What could and should be automated?

Wolfgang Frühwirt, Paul Duckworth

CoRR, 2019

Unsupervised human activity analysis for intelligent mobile robots.

Paul Duckworth, David C. Hogg, Anthony G. Cohn

Artif. Intell., 2019

Inferring Work Task Automatability from AI Expert Evidence.

Paul Duckworth, Logan Graham, Michael A. Osborne

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Unsupervised Human Activity Analysis for Intelligent Mobile Robot.

Paul Duckworth

Künstliche Intell., 2018

2017

Unsupervised human activity analysis for intelligent mobile robots.

Paul Duckworth

PhD thesis, 2017

The STRANDS Project: Long-Term Autonomy in Everyday Environments.

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

IEEE Robotics Autom. Mag., 2017

Grounding of Human Environments and Activities for Autonomous Robots.

Muhannad Al-Omari, Paul Duckworth, Nils Bore, Majd Hawasly, David C. Hogg, Anthony G. Cohn

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands.

Muhannad Al-Omari, Paul Duckworth, Majd Hawasly, David C. Hogg, Anthony G. Cohn

Proceedings of the First Workshop on Language Grounding for Robotics, 2017

Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision.

Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn

Proceedings of the 2017 AAAI Spring Symposia, 2017

Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot.

Paul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Natural Language Acquisition and Grounding for Embodied Robotic Systems.

Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Unsupervised Activity Recognition Using Latent Semantic Analysis on a Mobile Robot.

Paul Duckworth, Muhannad Al-Omari, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot.

Paul Duckworth, Yiannis Gatsoulis, Ferdian Jovan, Nick Hawes, David C. Hogg, Anthony G. Cohn

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016