Showing 50 publications by Nick Hawes
Multi-robot allocation of assistance from a shared uncertain operator
Costen C, Gautier A, Hawes N & Lacerda B (2024), Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024), 400-408
BibTeX
@inproceedings{multirobotalloc-2024/5,
title={Multi-robot allocation of assistance from a shared uncertain operator},
author={Costen C, Gautier A, Hawes N & Lacerda B},
booktitle={23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)},
pages={400-408},
year = "2024"
}
A framework for simultaneous task allocation and planning under uncertainty
Faruq F, Lacerda B, Hawes N & Parker D (2024), ACM Transactions on Autonomous and Adaptive Systems
BibTeX
@article{aframeworkforsi-2024/5,
title={A framework for simultaneous task allocation and planning under uncertainty},
author={Faruq F, Lacerda B, Hawes N & Parker D},
journal={ACM Transactions on Autonomous and Adaptive Systems},
publisher={Association for Computing Machinery},
year = "2024"
}
One risk to rule them all: a risk-sensitive perspective on model-based offline reinforcement learning
Rigter M, Lacerda B & Hawes N (2024), Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
BibTeX
@inproceedings{onerisktoruleth-2024/2,
title={One risk to rule them all: a risk-sensitive perspective on model-based offline reinforcement learning},
author={Rigter M, Lacerda B & Hawes N},
booktitle={37th Conference on Neural Information Processing Systems (NeurIPS 2023)},
year = "2024"
}
Experimental drought reduces the productivity and stability of a calcareous grassland
Jackson J, Middleton S, Lawson C, Jardine E, Hawes N et al. (2024), Journal of Ecology, 112(4), 917-931
BibTeX
@article{experimentaldro-2024/2,
title={Experimental drought reduces the productivity and stability of a calcareous grassland},
author={Jackson J, Middleton S, Lawson C, Jardine E, Hawes N et al.},
journal={Journal of Ecology},
volume={112},
pages={917-931},
publisher={Wiley},
year = "2024"
}
Right place, right time: proactive multi-robot task allocation under spatiotemporal uncertainty
Street C, Lacerda B, Mühlig M & Hawes N (2024), Journal of Artificial Intelligence Research, 79, 137-171
BibTeX
@article{rightplaceright-2024/1,
title={Right place, right time: proactive multi-robot task allocation under spatiotemporal uncertainty},
author={Street C, Lacerda B, Mühlig M & Hawes N},
journal={Journal of Artificial Intelligence Research},
volume={79},
pages={137-171},
publisher={AI Access Foundation},
year = "2024"
}
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
Rutherford A, Ellis B, Gallici M, Cook J, Lupu A et al. (2024), Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2024-May, 2444-2446
BibTeX
@inproceedings{jaxmarlmultiage-2024/1,
title={JaxMARL: Multi-Agent RL Environments and Algorithms in JAX},
author={Rutherford A, Ellis B, Gallici M, Cook J, Lupu A et al.},
pages={2444-2446},
year = "2024"
}
Correction: Efficiently exploring for human robot interaction: partially observable Poisson processes
Jovan F, Tomy M, Hawes N & Wyatt J (2023), Autonomous Robots, 47(8), 1593-1593
BibTeX
@article{correctioneffic-2023/11,
title={Correction: Efficiently exploring for human robot interaction: partially observable Poisson processes},
author={Jovan F, Tomy M, Hawes N & Wyatt J},
journal={Autonomous Robots},
volume={47},
pages={1593-1593},
publisher={Springer Nature},
year = "2023"
}
Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces
Duckworth P, Vallis KA, Lacerda B & Hawes N (2023), Frontiers in Artificial Intelligence and Applications, 372, 590-597
Difficulty-aware time-bounded planning under uncertainty for large-scale robot missions
Staniaszek M, Brudermüller L, Bhattacharyya R, Lacerda B & Hawes N (2023), 2023 European Conference on Mobile Robots (ECMR), 1-7
BibTeX
@inproceedings{difficultyaware-2023/9,
title={Difficulty-aware time-bounded planning under uncertainty for large-scale robot missions},
author={Staniaszek M, Brudermüller L, Bhattacharyya R, Lacerda B & Hawes N},
booktitle={11th European Conference on Mobile Robots (ECMR 2023)},
pages={1-7},
year = "2023"
}
Reinforcement learning for bandits with continuous actions and large context spaces
Duckworth P, Vallis KA, Lacerda B & Hawes N (2023), ECAI 2023, 590-597
BibTeX
@inproceedings{reinforcementle-2023/9,
title={Reinforcement learning for bandits with continuous actions and large context spaces},
author={Duckworth P, Vallis KA, Lacerda B & Hawes N},
booktitle={26th European Conference on Artificial Intelligence (ECAI 2023)},
pages={590-597},
year = "2023"
}
VP-STO: via-point-based stochastic trajectory optimization for reactive robot behavior
Jankowski J, Brudermüller L, Hawes N & Calinon S (2023), Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2023), 10125-10131
BibTeX
@inproceedings{vpstoviapointba-2023/7,
title={VP-STO: via-point-based stochastic trajectory optimization for reactive robot behavior},
author={Jankowski J, Brudermüller L, Hawes N & Calinon S},
booktitle={IEEE International Conference on Robotics and Automation (ICRA 2023)},
pages={10125-10131},
year = "2023"
}
Effects of Explanation Specificity on Passengers in Autonomous Driving
Omeiza D, Bhattacharyya R, Hawes N, Jirotka M & Kunze L (2023)
Planning with hidden parameter polynomial MDPs
Costen C, Rigter M, Lacerda B & Hawes N (2023), Proceedings of the AAAI Conference on Artificial Intelligence, 37(10), 11963-11971
Multi-unit auctions for allocating chance-constrained resources
Gautier AL, Lacerda B, Hawes N & Wooldridge M (2023), 37(10), 11560-11568
Planning with Hidden Parameter Polynomial MDPs
Costen C, Rigter M, Lacerda B & Hawes N (2023), Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37, 11963-11971
BibTeX
@inproceedings{planningwithhid-2023/6,
title={Planning with Hidden Parameter Polynomial MDPs},
author={Costen C, Rigter M, Lacerda B & Hawes N},
pages={11963-11971},
year = "2023"
}
Multi-Unit Auctions for Allocating Chance-Constrained Resources
Gautier A, Lacerda B, Hawes N & Wooldridge M (2023), Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37, 11560-11568
BibTeX
@inproceedings{multiunitauctio-2023/6,
title={Multi-Unit Auctions for Allocating Chance-Constrained Resources},
author={Gautier A, Lacerda B, Hawes N & Wooldridge M},
pages={11560-11568},
year = "2023"
}
Risk-constrained planning for multi-agent systems with shared resources
Gautier AL, Rigter M, Lacerda B, Hawes N & Wooldridge M (2023), Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), 113-121
BibTeX
@inproceedings{riskconstrained-2023/5,
title={Risk-constrained planning for multi-agent systems with shared resources},
author={Gautier AL, Rigter M, Lacerda B, Hawes N & Wooldridge M},
booktitle={22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)},
pages={113-121},
year = "2023"
}
RAMBO-RL: robust adversarial model-based offline reinforcement learning
Rigter M, Lacerda B & Hawes N (2023), Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 21, 16082-16097
BibTeX
@inproceedings{ramborlrobustad-2023/4,
title={RAMBO-RL: robust adversarial model-based offline reinforcement learning},
author={Rigter M, Lacerda B & Hawes N},
booktitle={36th Conference on Neural Information Processing Systems (NeurIPS 2022)},
pages={16082-16097},
year = "2023"
}
DITTO: Offline Imitation Learning with World Models
DeMoss B, Duckworth P, Hawes N & Posner I (2023)
BibTeX
@misc{dittoofflineimi-2023/2,
title={DITTO: Offline Imitation Learning with World Models},
author={DeMoss B, Duckworth P, Hawes N & Posner I},
year = "2023"
}
Monte Carlo tree search with Boltzmann exploration
Painter M, Baioumy M, Hawes N & Lacerda B (2023), Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36
BibTeX
@inproceedings{montecarlotrees-2023/2,
title={Monte Carlo tree search with Boltzmann exploration},
author={Painter M, Baioumy M, Hawes N & Lacerda B},
booktitle={37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)},
year = "2023"
}
Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments
Budd M, Duckworth P, Hawes N & Lacerda B (2023), Proceedings of Machine Learning Research, 205, 1189-1198
BibTeX
@inproceedings{bayesianreinfor-2023/1,
title={Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments},
author={Budd M, Duckworth P, Hawes N & Lacerda B},
pages={1189-1198},
year = "2023"
}
VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior
Jankowski J, Brudermuller L, Hawes N & Calinon S (2023), Proceedings - IEEE International Conference on Robotics and Automation, 2023-May, 10125-10131
Risk-Constrained Planning for Multi-Agent Systems with Shared Resources
Gautier A, Rigter M, Lacerda B, Hawes N & Wooldridge M (2023), Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2023-May, 113-121
BibTeX
@inproceedings{riskconstrained-2023/1,
title={Risk-Constrained Planning for Multi-Agent Systems with Shared Resources},
author={Gautier A, Rigter M, Lacerda B, Hawes N & Wooldridge M},
pages={113-121},
year = "2023"
}
Correction: Efficiently exploring for human robot interaction: partially observable Poisson processes (Autonomous Robots, (2023), 47, 1, (121-138), 10.1007/s10514-022-10070-9)
Jovan F, Tomy M, Hawes N & Wyatt J (2023), Autonomous Robots
BibTeX
@article{correctioneffic-2023/1,
title={Correction: Efficiently exploring for human robot interaction: partially observable Poisson processes (Autonomous Robots, (2023), 47, 1, (121-138), 10.1007/s10514-022-10070-9)},
author={Jovan F, Tomy M, Hawes N & Wyatt J},
journal={Autonomous Robots},
year = "2023"
}
Experimental drought reduces the productivity and stability of a recovering calcareous grassland
Jackson J, Middleton SL, Lawson CS, Jardine E, Hawes N et al. (2023)
Experimental drought reduces the productivity and stability of a recovering calcareous grassland
Jackson J, Middleton SL, Lawson CS, Jardine E, Hawes N et al. (2023)
Difficulty-Aware Time-Bounded Planning under Uncertainty for Large-Scale Robot Missions
Staniaszek M, Brudermueller L, Bhattacharyya R, Lacerda B & Hawes N (2023), 2023 EUROPEAN CONFERENCE ON MOBILE ROBOTS, ECMR, 165-171
Short-range multispectral imaging is an inexpensive, fast, and accurate approach to estimate biodiversity in a temperate calcareous grassland
jackson J, Lawson C, Adelmant C, Huhtala E, Fernandes P et al. (2022), Ecology and Evolution, 12(12)
BibTeX
@article{shortrangemulti-2022/12,
title={Short-range multispectral imaging is an inexpensive, fast, and accurate approach to estimate biodiversity in a temperate calcareous grassland},
author={jackson J, Lawson C, Adelmant C, Huhtala E, Fernandes P et al.},
journal={Ecology and Evolution},
volume={12},
publisher={Wiley},
year = "2022"
}
Probabilistic planning for AUV data harvesting from smart underwater sensor networks
Budd M, Salavasidis G, Karnarudzaman I, Harris C, Phillips A et al. (2022), Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) , 2022-October, 12051-12057
BibTeX
@inproceedings{probabilisticpl-2022/12,
title={Probabilistic planning for AUV data harvesting from smart underwater sensor networks},
author={Budd M, Salavasidis G, Karnarudzaman I, Harris C, Phillips A et al.},
booktitle={2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) },
pages={12051-12057},
year = "2022"
}
Short-range multispectral imaging is an inexpensive, fast, and accurate approach to estimate biodiversity in a temperate calcareous grassland
jackson J, Lawson C, Adelmant C, Huhtala E, Fernandes P et al. (2022), Ecology and Evolution, 12(12)
BibTeX
@article{shortrangemulti-2022/12,
title={Short-range multispectral imaging is an inexpensive, fast, and accurate approach to estimate biodiversity in a temperate calcareous grassland},
author={jackson J, Lawson C, Adelmant C, Huhtala E, Fernandes P et al.},
journal={Ecology and Evolution},
volume={12},
publisher={Wiley},
year = "2022"
}
Bayesian reinforcement learning for single-episode missions in partially unknown environments
Budd M, Duckworth P, Hawes N & Lacerda B (2022), Proceedings of the 6th Conference on Robot Learning (CoRL 2022)
BibTeX
@inproceedings{bayesianreinfor-2022/10,
title={Bayesian reinforcement learning for single-episode missions in partially unknown environments},
author={Budd M, Duckworth P, Hawes N & Lacerda B},
booktitle={6th Conference on Robot Learning (CoRL 2022)},
year = "2022"
}
Decision-making under uncertainty for multi-robot systems
Lacerda B, Gautier A, Rutherford A, Stephens A, Street C et al. (2022), AI Communications, 35(4), 433-441
Shared autonomy systems with stochastic operator models
Costen C, Rigter M, Lacerda B & Hawes N (2022), Proceedings of the 31st International Joint Conferences on Artificial Intelligence Organization (IJCAI 2022), 4614-4620
Beta residuals: improving fault-tolerant control for sensory faults via bayesian inference and precision learning
Baioumy M, Hartemink W, Ferrari R & Hawes N (2022), IFAC-PapersOnLine, 55(6), 285-291
Time-bounded large-scale mission planning under uncertainty for UV disinfection
Brudermüller L, Bhattacharyya R, Lacerda B & Hawes N (2022)
BibTeX
@inproceedings{timeboundedlarg-2022/6,
title={Time-bounded large-scale mission planning under uncertainty for UV disinfection},
author={Brudermüller L, Bhattacharyya R, Lacerda B & Hawes N},
booktitle={PlanRob: ICAPS 2022 Workshop on Planning and Robotics},
year = "2022"
}
Planning for risk-aversion and expected value in MDPs
Rigter M, Duckworth P, Lacerda B & Hawes N (2022), Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS 2022) , 32(1), 307-315
Context-aware modelling for multi-robot systems under uncertainty
Street C, Lacerda B, Staniaszek M, Mühlig M & Hawes N (2022), Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022)
BibTeX
@inproceedings{contextawaremod-2022/5,
title={Context-aware modelling for multi-robot systems under uncertainty},
author={Street C, Lacerda B, Staniaszek M, Mühlig M & Hawes N},
booktitle={21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2022},
year = "2022"
}
Risk-aware motion planning in partially known environments
Hawes N, Barbosa FS, Lacerda B, Duckworth P & Tumova J (2022), Proceedings of the 60th IEEE Conference on Decision and Control (CDC 2021), 5220-5226
On solving a Stochastic Shortest-Path Markov Decision Process as probabilistic inference
Baioumy M, Lacerda B, Duckworth P & Hawes N (2022), 1524, 819-829
BibTeX
@inproceedings{onsolvingastoch-2022/2,
title={On solving a Stochastic Shortest-Path Markov Decision Process as probabilistic inference},
author={Baioumy M, Lacerda B, Duckworth P & Hawes N},
booktitle={Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021)},
pages={819-829},
year = "2022"
}
Towards stochastic fault-tolerant control using precision learning and active inference
Baioumy M, Pezzato C, Corbato C, Hawes N & Ferrari R (2022), 1524 CCIS, 681-691
BibTeX
@inproceedings{towardsstochast-2022/2,
title={Towards stochastic fault-tolerant control using precision learning and active inference},
author={Baioumy M, Pezzato C, Corbato C, Hawes N & Ferrari R},
booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML 2021)},
pages={681-691},
year = "2022"
}
Fault-tolerant control of robot manipulators with sensory faults using unbiased active inference
Baioumy M, Pezzato C, Ferrari R, Corbato CH & Hawes N (2022), Proceedings of the 2021 European Control Conference (ECC), 1119-1125
BibTeX
@inproceedings{faulttolerantco-2022/1,
title={Fault-tolerant control of robot manipulators with sensory faults using unbiased active inference},
author={Baioumy M, Pezzato C, Ferrari R, Corbato CH & Hawes N},
booktitle={2021 European Control Conference (ECC)},
pages={1119-1125},
year = "2022"
}
Negotiated Path Planning for Non-Cooperative Multi-Robot Systems
Gautier A, Stephens A, Lacerda B, Hawes N & Wooldridge M (2022), Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 1, 472-480
BibTeX
@inproceedings{negotiatedpathp-2022/1,
title={Negotiated Path Planning for Non-Cooperative Multi-Robot Systems},
author={Gautier A, Stephens A, Lacerda B, Hawes N & Wooldridge M},
pages={472-480},
year = "2022"
}
Efficiently exploring for human robot interaction: partially observable Poisson processes
Jovan F, Tomy M, Hawes N & Wyatt J (2022), AUTONOMOUS ROBOTS
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
Rigter M, Lacerda B & Hawes N (2022), Advances in Neural Information Processing Systems, 35
BibTeX
@inproceedings{ramborlrobustad-2022/1,
title={RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning},
author={Rigter M, Lacerda B & Hawes N},
year = "2022"
}
Flexible estimation of biodiversity with short-range multispectral imaging in a temperate grassland
Jackson J, Lawson CS, Adelmant C, Huhtala E, Fernandes P et al. (2022)
Risk-averse Bayes-adaptive reinforcement learning
Rigter M, Lacerda B & Hawes N (2021), Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 34, 1142-1154
BibTeX
@inproceedings{riskaversebayes-2021/12,
title={Risk-averse Bayes-adaptive reinforcement learning},
author={Rigter M, Lacerda B & Hawes N},
booktitle={35th Conference on Neural Information Processing Systems (NeurIPS 2021)},
pages={1142-1154},
year = "2021"
}
Time-bounded mission planning in time-varying domains with semi-MDPS and Gaussian processes
Duckworth P, Lacerda B & Hawes N (2021), Proceedings of the 2020 Conference on Robot Learning, 1654-1668
BibTeX
@inproceedings{timeboundedmiss-2021/10,
title={Time-bounded mission planning in time-varying domains with semi-MDPS and Gaussian processes},
author={Duckworth P, Lacerda B & Hawes N},
booktitle={4th Annual Conference on Robot Learning (CoRL2020)},
pages={1654-1668},
year = "2021"
}
Active inference for integrated state-estimation, control, and learning
Baioumy M, Duckworth P, Lacerda B & Hawes N (2021), Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), 4665-4671
Mixed-initiative variable autonomy for remotely operated mobile robots
Chiou M, Hawes N & Stolkin R (2021), ACM Transactions on Human-Robot Interaction, 10(4), 1-34
BibTeX
@article{mixedinitiative-2021/9,
title={Mixed-initiative variable autonomy for remotely operated mobile robots},
author={Chiou M, Hawes N & Stolkin R},
journal={ACM Transactions on Human-Robot Interaction},
volume={10},
number={37},
pages={1-34},
publisher={Association for Computing Machinery },
year = "2021"
}
Mixed observability MDPs for shared autonomy with uncertain human behaviour
Costen C, Rigter M, Lacerda B & Hawes N (2021), Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
BibTeX
@inproceedings{mixedobservabil-2021/8,
title={Mixed observability MDPs for shared autonomy with uncertain human behaviour},
author={Costen C, Rigter M, Lacerda B & Hawes N},
booktitle={Thirtieth International Joint Conference on Artificial Intelligence (IJCAI21)},
year = "2021"
}