Paul Duckworth

44 papers A* 9A 5C 2Misc 2Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Bootstrap Your Own Teacher: Online Policy Distillation for Multi-Game Reinforcement Learning. CoG Donal Byrne, Marko Tot, Paul Duckworth, Clément Bonnet, Alexandre Laterre, Thomas D. Barrett
2025	A*	`conf`	Metalic: Meta-Learning In-Context with Protein Language Models. ICLR Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau-Luis, Paul Duckworth
2025	J	`jnl`	Overconfident Oracles: Limitations of In Silico Sequence Design Benchmarking. CoRR Shikha Surana, Nathan Grinsztajn, Timothy Atkinson, Paul Duckworth, Thomas D. Barrett
2024	J	`jnl`	Correction: Planning under uncertainty for safe robot exploration using gaussian process prediction. Auton. Robots Alex Stephens, Matthew Budd, Michal Staniaszek, Benoît Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda
2024	A*	`conf`	Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. ICLR 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
2024	J	`jnl`	Metalic: Meta-Learning In-Context with Protein Language Models. CoRR Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau Luis, Paul Duckworth
2024	J	`jnl`	Planning under uncertainty for safe robot exploration using Gaussian process prediction. Auton. Robots Alex Stephens, Matthew Budd, Michal Staniaszek, Benoît Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda
2024	J	`jnl`	SMX: Sequential Monte Carlo Planning for Expert Iteration. CoRR Matthew V. Macfarlane, Edan Toledo, Donal Byrne, Siddarth Singh, Paul Duckworth, Alexandre Laterre
2024	A*	`conf`	SPO: Sequential Monte Carlo Policy Optimisation. NeurIPS Matthew Macfarlane, Edan Toledo, Donal Byrne, Paul Duckworth, Alexandre Laterre
2024	A*	`conf`	Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs. ICML Andries P. Smit, Nathan Grinsztajn, Paul Duckworth, Thomas D. Barrett, Arnu Pretorius
2023	J	`jnl`	Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A. CoRR Andries P. Smit, Paul Duckworth, Nathan Grinsztajn, Kale-ab Abebe Tessera, Thomas D. Barrett, Arnu Pretorius
2023	J	`jnl`	Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk. Frontiers Bioinform. T. Waddell, Ana I. L. Namburete, Paul Duckworth, N. Eichert, H. Thomaides-Brears, D. J. Cuthbertson, J. P. Despres, Michael Brady
2023	J	`jnl`	DITTO: Offline Imitation Learning with World Models. CoRR Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner
2023	J	`jnl`	Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. CoRR 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
2023	A	`conf`	Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. ECAI Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes
2023	—	`conf`	The impact of projected increases in obesity prevalence on incident liver disease in the UK: Insights from Bayesian-network modelling. ICMHI Tom Henry Waddell, Ana I. L. Namburete, Paul Duckworth, Dan Cuthbertson, Celeste Mccracken, Michael Brady
2022	Misc	`conf`	Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. CoRL Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda
2022	A*	`conf`	Planning for Risk-Aversion and Expected Value in MDPs. ICAPS Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
2022	A	`conf`	Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks. IROS Matthew Budd, Georgios Salavasidis, Izzat Karnarudzaman, Catherine A. Harris, Alexander B. Phillips, Paul Duckworth, Nick Hawes, Bruno Lacerda
2021	A*	`conf`	Active Inference for Integrated State-Estimation, Control, and Learning. ICRA Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
2021	J	`jnl`	Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery. CoRR 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
2021	J	`jnl`	Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs. CoRR Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
2021	—	`conf`	Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes. ECMR Alex Rutherford, Paul Duckworth, Nick Hawes, Bruno Lacerda
2021	—	`conf`	On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. PKDD/ECML Workshops (1) Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
2021	J	`jnl`	On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. CoRR Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
2021	—	`conf`	Risk-Aware Motion Planning in Partially Known Environments. CDC Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes
2021	J	`jnl`	Risk-Aware Motion Planning in Partially Known Environments. CoRR Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes
2020	J	`jnl`	Active Inference for Integrated State-Estimation, Control, and Learning. CoRR Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
2020	A	`conf`	Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes. IROS Matthew Budd, Bruno Lacerda, Paul Duckworth, Andrew West, Barry Lennox, Nick Hawes
2020	Misc	`conf`	Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. CoRL Paul Duckworth, Bruno Lacerda, Nick Hawes
2019	C	`conf`	Inferring Work Task Automatability from AI Expert Evidence. AIES Paul Duckworth, Logan Graham, Michael A. Osborne
2019	J	`jnl`	Towards better healthcare: What could and should be automated? CoRR Wolfgang Frühwirt, Paul Duckworth
2019	J	`jnl`	Unsupervised human activity analysis for intelligent mobile robots. Artif. Intell. Paul Duckworth, David C. Hogg, Anthony G. Cohn
2018	J	`jnl`	Unsupervised Human Activity Analysis for Intelligent Mobile Robot. Künstliche Intell. Paul Duckworth
2017	A*	`conf`	Grounding of Human Environments and Activities for Autonomous Robots. IJCAI Muhannad Al-Omari, Paul Duckworth, Nils Bore, Majd Hawasly, David C. Hogg, Anthony G. Cohn
2017	A*	`conf`	Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot. AAAI Paul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn
2017	—	`conf`	Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision. AAAI Spring Symposia Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn
2017	A*	`conf`	Natural Language Acquisition and Grounding for Embodied Robotic Systems. AAAI Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn
2017	—	`conf`	Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands. RoboNLP@ACL Muhannad Al-Omari, Paul Duckworth, Majd Hawasly, David C. Hogg, Anthony G. Cohn
2017	J	`jnl`	The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 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
2017	—	`—`	Unsupervised human activity analysis for intelligent mobile robots. Paul Duckworth
2016	J	`jnl`	The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR 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
2016	A	`conf`	Unsupervised Activity Recognition Using Latent Semantic Analysis on a Mobile Robot. ECAI Paul Duckworth, Muhannad Al-Omari, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn
2016	A	`conf`	Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot. AAMAS Paul Duckworth, Yiannis Gatsoulis, Ferdian Jovan, Nick Hawes, David C. Hogg, Anthony G. Cohn