Bruno Lacerda - RankMe

91 papers A* 21A 19Misc 2Journal 39Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Regret Approximation for Unsupervised Dynamic Environment Generation. CoRR Harry Mead, Bruno Lacerda, Jakob N. Foerster, Nick Hawes
2026	J	`jnl`	Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders. CoRR Victor-Alexandru Darvariu, Charlotte Z. Reed, Jan Stratmann, Bruno Lacerda, Benjamin Allsup, Stephen Woodward, Elizabeth Siddle, Trishna Saeharaseelan, Owain Jones, Dan Jones, Tobias Ferreira, Chloe Baker, Kevin Chaplin, James Kirk, Ashley Morris, Ryan Patmore, Jeff Polton, Charlotte Williams, Alexandra Kokkinaki, Alvaro Lorenzo-Lopez, Justin J. H. Buck, Nick Hawes
2026	A*	`conf`	Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics. AAAI Yang You, Alex Schutz, Zhikun Li, Bruno Lacerda, Robert Skilton, Nick Hawes
2025	A*	`conf`	A Finite-State Controller Based Offline Solver for Deterministic POMDPs. IJCAI Alex Schutz, Yang You, Matías Mattamala, Ipek Caliskanelli, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	A Finite-State Controller Based Offline Solver for Deterministic POMDPs. CoRR Alex Schutz, Yang You, Matías Mattamala, Ipek Caliskanelli, Bruno Lacerda, Nick Hawes
2025	—	`conf`	CHiPS: Composing Hierarchical Pareto Solutions for Scalable Planning in Multi-Objective MDPs. ECMR Carl Hentges, Matthew Budd, Andrew Platt, Bruno Lacerda, David Parker, Nick Hawes
2025	J	`jnl`	Gaussian Process Aggregation for Root-Parallel Monte Carlo Tree Search with Continuous Actions. CoRR Junlin Xiao, Victor-Alexandru Darvariu, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning. CoRR Ufuk Çakir, Victor-Alexandru Darvariu, Bruno Lacerda, Nick Hawes
2025	A	`conf`	Multi-Agent Pickup and Delivery with Mobile Pickups. IROS Benedetta Flammini, Nick Hawes, Bruno Lacerda
2025	A*	`conf`	Return Capping: Sample Efficient CVaR Policy Gradient Optimisation. ICML Harry Mead, Clarissa Costen, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation. CoRR Harry Mead, Clarissa Costen, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	Ro-To-Go! Robust Reactive Control with Signal Temporal Logic. CoRR Roland B. Ilyes, Lara Brudermüller, Nick Hawes, Bruno Lacerda
2025	J	`jnl`	Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics. CoRR Yang You, Alex Schutz, Zhikun Li, Bruno Lacerda, Robert Skilton, Nick Hawes
2025	J	`jnl`	Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning. CoRR Alex Schutz, Victor-Alexandru Darvariu, Efimia Panagiotaki, Bruno Lacerda, Nick Hawes
2025	J	`jnl`	Time-bounded planning with uncertain task duration distributions. Robotics Auton. Syst. Michal Staniaszek, Lara Brudermüller, Yang You, Raunak Bhattacharyya, Bruno Lacerda, Nick Hawes
2024	J	`jnl`	A Framework for Simultaneous Task Allocation and Planning under Uncertainty. ACM Trans. Auton. Adapt. Syst. Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker
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	J	`jnl`	Editorial: Variable autonomy for human-robot teaming. Frontiers Robotics AI Andreas Theodorou, Manolis Chiou, Bruno Lacerda, Simon Rothfuß
2024	A	`conf`	Hierarchical Planning for Resource-Constrained Long-Term Monitoring Missions in Time-Varying Environments. ECAI Alex Stephens, Bruno Lacerda, Nick Hawes
2024	A	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024	A*	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. NeurIPS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024	J	`jnl`	Monte Carlo Tree Search with Boltzmann Exploration. CoRR Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
2024	A	`conf`	Multi-Robot Allocation of Assistance from a Shared Uncertain Operator. AAMAS Clarissa Costen, Anna Gautier, Nick Hawes, Bruno Lacerda
2024	A*	`conf`	No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery. NeurIPS Alexander Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob N. Foerster
2024	J	`jnl`	No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery. CoRR Alexander Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob N. Foerster
2024	A	`conf`	Planning for Long-Term Monitoring Missions in Time-Varying Environments. IROS Alex Stephens, Bruno Lacerda, Nick Hawes
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`	Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty. J. Artif. Intell. Res. Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes
2024	A*	`conf`	Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. AAAI Matthew Budd, Bruno Lacerda, Nick Hawes
2023	J	`jnl`	A Framework for Learning from Demonstration with Minimal Human Effort. CoRR Marc Rigter, Bruno Lacerda, Nick Hawes
2023	—	`conf`	Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions. ECMR Michal Staniaszek, Lara Brudermüller, Raunak Bhattacharyya, Bruno Lacerda, Nick Hawes
2023	J	`jnl`	Formal Modelling for Multi-Robot Systems Under Uncertainty. CoRR Charlie Street, Masoumeh Mansouri, Bruno Lacerda
2023	J	`jnl`	JaxMARL: Multi-Agent RL Environments in JAX. CoRR Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster
2023	A*	`conf`	Monte Carlo Tree Search with Boltzmann Exploration. NeurIPS Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
2023	A*	`conf`	Multi-Unit Auctions for Allocating Chance-Constrained Resources. AAAI Anna Gautier, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
2023	A*	`conf`	One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. NeurIPS Marc Rigter, Bruno Lacerda, Nick Hawes
2023	A*	`conf`	Planning with Hidden Parameter Polynomial MDPs. AAAI Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
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	A	`conf`	Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. AAMAS Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
2023	—	`conf`	Variable Autonomy for Human-Robot Teaming (VAT). HRI (Companion) Manolis Chiou, Serena Booth, Bruno Lacerda, Andreas Theodorou, Simon Rothfuß
2022	Misc	`conf`	Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. CoRL Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda
2022	J	`jnl`	Congestion-Aware Policy Synthesis for Multirobot Systems. IEEE Trans. Robotics Charlie Street, Sebastian Pütz, Manuel Mühlig, Nick Hawes, Bruno Lacerda
2022	A	`conf`	Context-Aware Modelling for Multi-Robot Systems Under Uncertainty. AAMAS Charlie Street, Bruno Lacerda, Michal Staniaszek, Manuel Mühlig, Nick Hawes
2022	J	`jnl`	Decision-making under uncertainty for multi-robot systems. AI Commun. Bruno Lacerda, Anna Gautier, Alex Rutherford, Alex Stephens, Charlie Street, Nick Hawes
2022	A	`conf`	Negotiated Path Planning for Non-Cooperative Multi-Robot Systems. AAMAS Anna Gautier, Alex Stephens, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
2022	J	`jnl`	One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. CoRR Marc Rigter, Bruno Lacerda, Nick Hawes
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
2022	A*	`conf`	RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. NeurIPS Marc Rigter, Bruno Lacerda, Nick Hawes
2022	J	`jnl`	RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. CoRR Marc Rigter, Bruno Lacerda, Nick Hawes
2022	A*	`conf`	Shared Autonomy Systems with Stochastic Operator Models. IJCAI Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
2021	A*	`conf`	Active Inference for Integrated State-Estimation, Control, and Learning. ICRA Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
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	A*	`conf`	Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. AAAI Marc Rigter, 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	A*	`conf`	Risk-Averse Bayes-Adaptive Reinforcement Learning. NeurIPS Marc Rigter, Bruno Lacerda, Nick Hawes
2021	J	`jnl`	Risk-Averse Bayes-Adaptive Reinforcement Learning. CoRR Marc Rigter, Bruno Lacerda, 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`	A Framework for Learning From Demonstration With Minimal Human Effort. IEEE Robotics Autom. Lett. Marc Rigter, Bruno Lacerda, Nick Hawes
2020	J	`jnl`	Active Inference for Integrated State-Estimation, Control, and Learning. CoRR Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
2020	J	`jnl`	Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty. Robotics Auton. Syst. Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt
2020	J	`jnl`	Convex Hull Monte-Carlo Tree Search. CoRR Michael Painter, Bruno Lacerda, Nick Hawes
2020	A*	`conf`	Convex Hull Monte-Carlo Tree-Search. ICAPS Michael Painter, Bruno Lacerda, Nick Hawes
2020	A	`conf`	Long-Run Multi-Robot Planning With Uncertain Task Durations. AAMAS Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima
2020	A	`conf`	Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks. IROS Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima
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	J	`jnl`	Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. CoRR Marc Rigter, Bruno Lacerda, Nick Hawes
2020	A	`conf`	Multi-Robot Planning Under Uncertainty with Congestion-Aware Models. AAMAS Charlie Street, Bruno Lacerda, Manuel Mühlig, 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	—	`conf`	Battery Charge Scheduling in Long-Life Autonomous Mobile Robots. ECMR Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt
2019	A*	`conf`	Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. IJCAI Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora
2019	J	`jnl`	Petri net based multi-robot task coordination from temporal logic specifications. Robotics Auton. Syst. Bruno Lacerda, Pedro U. Lima
2019	J	`jnl`	Probabilistic planning with formal performance guarantees for mobile service robots. Int. J. Robotics Res. Bruno Lacerda, Fatma Faruq, David Parker, Nick Hawes
2018	A	`conf`	Simultaneous Task Allocation and Planning Under Uncertainty. IROS Fatma Faruq, David Parker, Bruno Lacerda, Nick Hawes
2018	J	`jnl`	Simultaneous Task Allocation and Planning Under Uncertainty. CoRR Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker
2017	A*	`conf`	Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees. ICAPS Bruno Lacerda, David Parker, Nick Hawes
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
2016	A	`conf`	Partial Order Temporal Plan Merging for Mobile Robot Tasks. ECAI Lenka Mudrová, Bruno Lacerda, Nick Hawes
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
2015	—	`conf`	An integrated control framework for long-term autonomy in mobile service robots. ECMR Lenka Mudrová, Bruno Lacerda, Nick Hawes
2015	—	`conf`	Nested Value Iteration for Partially Satisfiable Co-Safe LTL Specifications (Extended Abstract). AAAI Fall Symposia Bruno Lacerda, David Parker, Nick Hawes
2015	A*	`conf`	Now or later? Predicting and maximising success of navigation actions from long-term experience. ICRA Jaime Pulido Fentanes, Bruno Lacerda, Tomás Krajník, Nick Hawes, Marc Hanheide
2015	A*	`conf`	Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications. IJCAI Bruno Lacerda, David Parker, Nick Hawes
2014	J	`jnl`	On the Notion of Uncontrollable Marking in Supervisory Control of Petri Nets. IEEE Trans. Autom. Control. Bruno Lacerda, Pedro U. Lima
2014	A	`conf`	Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications. IROS Bruno Lacerda, David Parker, Nick Hawes
2011	—	`conf`	Designing Petri Net Supervisors from LTL Specifications. Robotics: Science and Systems Bruno Lacerda, Pedro U. Lima
2011	A	`conf`	Designing petri net supervisors for multi-agent systems from LTL specifications. AAMAS Bruno Lacerda, Pedro U. Lima
2011	A	`conf`	LTL-based decentralized supervisory control of multi-robot tasks modelled as Petri nets. IROS Bruno Lacerda, Pedro U. Lima