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Paul Duckworth
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2020 – today
- 2024
- [j6]Alex Stephens
, Matthew Budd
Planning under uncertainty for safe robot exploration using Gaussian process prediction. Auton. Robots 48(6-7): 18 (2024) - [j5]Alex Stephens
Correction: Planning under uncertainty for safe robot exploration using gaussian process prediction. Auton. Robots 48(8): 25 (2024) - [c21]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 - [c20]Andries P. Smit, Nathan Grinsztajn, Paul Duckworth, Thomas D. Barrett, Arnu Pretorius:
Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs. ICML 2024 - [i12]Matthew V. Macfarlane, Edan Toledo, Donal Byrne, Siddarth Singh, Paul Duckworth, Alexandre Laterre:
SMX: Sequential Monte Carlo Planning for Expert Iteration. CoRR abs/2402.07963 (2024) - [i11]Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau Luis, Paul Duckworth:
Metalic: Meta-Learning In-Context with Protein Language Models. CoRR abs/2410.08355 (2024) - 2023
- [j4]T. Waddell, Ana I. L. Namburete, Paul Duckworth, N. Eichert, H. Thomaides-Brears
Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk. Frontiers Bioinform. 3 (2023) - [c19]Paul Duckworth
Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. ECAI 2023: 590-597 - [c18]Tom Henry Waddell
The impact of projected increases in obesity prevalence on incident liver disease in the UK: Insights from Bayesian-network modelling. ICMHI 2023: 44-48 - [i10]Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner:
DITTO: Offline Imitation Learning with World Models. CoRR abs/2302.03086 (2023) - [i9]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 abs/2306.09884 (2023) - [i8]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 abs/2311.17371 (2023) - 2022
- [c17]Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Planning for Risk-Aversion and Expected Value in MDPs. ICAPS 2022: 307-315 - [c16]Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda:
Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. CoRL 2022: 1189-1198 - [c15]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: 12051-12057 - 2021
- [c14]Fernando S. Barbosa, Bruno Lacerda
Risk-Aware Motion Planning in Partially Known Environments. CDC 2021: 5220-5226 - [c13]Alex Rutherford, Paul Duckworth, Nick Hawes, Bruno Lacerda
Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes. ECMR 2021: 1-6 - [c12]Mohamed Baioumy, Paul Duckworth, Bruno Lacerda
Active Inference for Integrated State-Estimation, Control, and Learning. ICRA 2021: 4665-4671 - [c11]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: 819-829 - [i7]Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes:
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. CoRR abs/2109.05866 (2021) - [i6]Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes:
Risk-Aware Motion Planning in Partially Known Environments. CoRR abs/2109.11287 (2021) - [i5]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 abs/2110.12746 (2021) - [i4]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 abs/2111.07348 (2021) - 2020
- [c10]Paul Duckworth, Bruno Lacerda, Nick Hawes:
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. CoRL 2020: 1654-1668 - [c9]Matthew Budd, Bruno Lacerda
Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes. IROS 2020: 7344-7350 - [i3]Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Active Inference for Integrated State-Estimation, Control, and Learning. CoRR abs/2005.05894 (2020)
2010 – 2019
- 2019
- [j3]Paul Duckworth
Unsupervised human activity analysis for intelligent mobile robots. Artif. Intell. 270: 67-92 (2019) - [c8]Paul Duckworth, Logan Graham, Michael A. Osborne:
Inferring Work Task Automatability from AI Expert Evidence. AIES 2019: 485-491 - [i2]Wolfgang Frühwirt, Paul Duckworth:
Towards better healthcare: What could and should be automated? CoRR abs/1910.09444 (2019) - 2018
- [j2]Paul Duckworth
Unsupervised Human Activity Analysis for Intelligent Mobile Robot. Künstliche Intell. 32(4): 291-294 (2018) - 2017
- [b1]Paul Duckworth:
Unsupervised human activity analysis for intelligent mobile robots. University of Leeds, UK, 2017 - [j1]Nick Hawes
The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 24(3): 146-156 (2017) - [c7]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: 3819-3826 - [c6]Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn:
Natural Language Acquisition and Grounding for Embodied Robotic Systems. AAAI 2017: 4349-4356 - [c5]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 - [c4]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: 35-43 - [c3]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: 1395-1402 - 2016
- [c2]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: 1043-1051 - [c1]Paul Duckworth, Muhannad Al-Omari, Yiannis Gatsoulis, David C. Hogg
Unsupervised Activity Recognition Using Latent Semantic Analysis on a Mobile Robot. ECAI 2016: 1062-1070 - [i1]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 abs/1604.04384 (2016)
Coauthor Index
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last updated on 2024-12-10 20:49 CET by the dblp team
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