Paul Duckworth

Orcid: 0000-0001-9052-6919

According to our database¹, Paul Duckworth authored at least 31 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2024

SMX: Sequential Monte Carlo Planning for Expert Iteration.

[BibT_eX]

[DOI]

Matthew V. Macfarlane

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Frontiers Bioinform., May, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

DITTO: Offline Imitation Learning with World Models.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Planning for Risk-Aversion and Expected Value in MDPs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Risk-Aware Motion Planning in Partially Known Environments.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

Wolfgang Frühwirt

Paul Duckworth

CoRR, 2019

Unsupervised human activity analysis for intelligent mobile robots.

[BibT_eX]

[DOI]

Paul Duckworth

David C. Hogg

Anthony G. Cohn

Artif. Intell., 2019

Inferring Work Task Automatability from AI Expert Evidence.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Paul Duckworth

Künstliche Intell., 2018

2017

Unsupervised human activity analysis for intelligent mobile robots.

[BibT_eX]

[DOI]

Paul Duckworth

PhD thesis, 2017

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

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2017

Grounding of Human Environments and Activities for Autonomous Robots.

[BibT_eX]

[DOI]

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

Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 AAAI Spring Symposia, 2017

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

[BibT_eX]

[DOI]

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

Natural Language Acquisition and Grounding for Embodied Robotic Systems.

[BibT_eX]

[DOI]

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

2016

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Paul Duckworth

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