Bruno Lacerda

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 59

Top Topics

Planning Under Uncertainty

Reinforcement Learning

Autonomous Mobile Robots

Markov Decision Process

Top Venues

Publications

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
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS (2024)
Clarissa Costen, Anna Gautier, Nick Hawes, Bruno Lacerda
Multi-Robot Allocation of Assistance from a Shared Uncertain Operator. AAMAS (2024)
Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty. J. Artif. Intell. Res. 79 (2024)
Matthew Budd, Bruno Lacerda, Nick Hawes
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. AAAI (2024)
Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
Monte Carlo Tree Search with Boltzmann Exploration. CoRR (2024)
Alex Stephens, Matthew Budd, Michal Staniaszek, Benoit Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda
Planning under uncertainty for safe robot exploration using Gaussian process prediction. Auton. Robots 48 (6-7) (2024)
Charlie Street, Masoumeh Mansouri, Bruno Lacerda
Formal Modelling for Multi-Robot Systems Under Uncertainty. CoRR (2023)
Anna Gautier, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
Multi-Unit Auctions for Allocating Chance-Constrained Resources. AAAI (2023)
Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes
Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. ECAI (2023)
Michal Staniaszek, Lara Brudermüller, Raunak Bhattacharyya, Bruno Lacerda, Nick Hawes
Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions. ECMR (2023)
Manolis Chiou, Serena Booth, Bruno Lacerda, Andreas Theodorou, Simon Rothfuß
Variable Autonomy for Human-Robot Teaming (VAT). HRI (Companion) (2023)
Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. AAMAS (2023)
Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
Monte Carlo Tree Search with Boltzmann Exploration. NeurIPS (2023)
Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
Planning with Hidden Parameter Polynomial MDPs. AAAI (2023)
Marc Rigter, Bruno Lacerda, Nick Hawes
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. NeurIPS (2023)
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
JaxMARL: Multi-Agent RL Environments in JAX. CoRR (2023)
Marc Rigter, Bruno Lacerda, Nick Hawes
A Framework for Learning from Demonstration with Minimal Human Effort. CoRR (2023)
Marc Rigter, Bruno Lacerda, Nick Hawes
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. CoRR (2022)
Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
Planning for Risk-Aversion and Expected Value in MDPs. ICAPS (2022)
Charlie Street, Sebastian Pütz, Manuel Mühlig, Nick Hawes, Bruno Lacerda
Congestion-Aware Policy Synthesis for Multirobot Systems. IEEE Trans. Robotics 38 (1) (2022)
Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda
Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. CoRL (2022)
Marc Rigter, Bruno Lacerda, Nick Hawes
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. NeurIPS (2022)
Bruno Lacerda, Anna Gautier, Alex Rutherford, Alex Stephens, Charlie Street, Nick Hawes
Decision-making under uncertainty for multi-robot systems. AI Commun. 35 (4) (2022)
Marc Rigter, Bruno Lacerda, Nick Hawes
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. CoRR (2022)
Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
Shared Autonomy Systems with Stochastic Operator Models. IJCAI (2022)
Anna Gautier, Alex Stephens, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge
Negotiated Path Planning for Non-Cooperative Multi-Robot Systems. AAMAS (2022)
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)
Charlie Street, Bruno Lacerda, Michal Staniaszek, Manuel Mühlig, Nick Hawes
Context-Aware Modelling for Multi-Robot Systems Under Uncertainty. AAMAS (2022)
Marc Rigter, Bruno Lacerda, Nick Hawes
Risk-Averse Bayes-Adaptive Reinforcement Learning. NeurIPS (2021)
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
Active Inference for Integrated State-Estimation, Control, and Learning. ICRA (2021)
Marc Rigter, Bruno Lacerda, Nick Hawes
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. AAAI (2021)
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. CoRR (2021)
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 (2021)
Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes
Risk-Aware Motion Planning in Partially Known Environments. CDC (2021)
Marc Rigter, Bruno Lacerda, Nick Hawes
Risk-Averse Bayes-Adaptive Reinforcement Learning. CoRR (2021)
Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes
Risk-Aware Motion Planning in Partially Known Environments. CoRR (2021)
Alex Rutherford, Paul Duckworth, Nick Hawes, Bruno Lacerda
Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes. ECMR (2021)
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)
Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima
Long-Run Multi-Robot Planning With Uncertain Task Durations. AAMAS (2020)
Paul Duckworth, Bruno Lacerda, Nick Hawes
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. CoRL (2020)
Marc Rigter, Bruno Lacerda, Nick Hawes
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. CoRR (2020)
Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt
Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty. Robotics Auton. Syst. 133 (2020)
Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes
Multi-Robot Planning Under Uncertainty with Congestion-Aware Models. AAMAS (2020)
Michael Painter, Bruno Lacerda, Nick Hawes
Convex Hull Monte-Carlo Tree-Search. ICAPS (2020)
Marc Rigter, Bruno Lacerda, Nick Hawes
A Framework for Learning From Demonstration With Minimal Human Effort. IEEE Robotics Autom. Lett. 5 (2) (2020)
Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima
Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks. IROS (2020)
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
Active Inference for Integrated State-Estimation, Control, and Learning. CoRR (2020)
Matthew Budd, Bruno Lacerda, Paul Duckworth, Andrew West, Barry Lennox, Nick Hawes
Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes. IROS (2020)
Michael Painter, Bruno Lacerda, Nick Hawes
Convex Hull Monte-Carlo Tree Search. CoRR (2020)
Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. IJCAI (2019)
Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt
Battery Charge Scheduling in Long-Life Autonomous Mobile Robots. ECMR (2019)
Bruno Lacerda, Pedro U. Lima
Petri net based multi-robot task coordination from temporal logic specifications. Robotics Auton. Syst. 122 (2019)
Bruno Lacerda, Fatma Faruq, David Parker, Nick Hawes
Probabilistic planning with formal performance guarantees for mobile service robots. Int. J. Robotics Res. 38 (9) (2019)
Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker
Simultaneous Task Allocation and Planning Under Uncertainty. CoRR (2018)
Fatma Faruq, David Parker, Bruno Lacerda, Nick Hawes
Simultaneous Task Allocation and Planning Under Uncertainty. IROS (2018)
Bruno Lacerda, David Parker, Nick Hawes
Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees. ICAPS (2017)
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
The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 24 (3) (2017)
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 (2016)
Lenka Mudrová, Bruno Lacerda, Nick Hawes
Partial Order Temporal Plan Merging for Mobile Robot Tasks. ECAI (2016)
Bruno Lacerda, David Parker, Nick Hawes
Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications. IJCAI (2015)
Lenka Mudrová, Bruno Lacerda, Nick Hawes
An integrated control framework for long-term autonomy in mobile service robots. ECMR (2015)
Jaime Pulido Fentanes, Bruno Lacerda, Tomás Krajník, Nick Hawes, Marc Hanheide
Now or later? Predicting and maximising success of navigation actions from long-term experience. ICRA (2015)
Bruno Lacerda, David Parker, Nick Hawes
Nested Value Iteration for Partially Satisfiable Co-Safe LTL Specifications (Extended Abstract). AAAI Fall Symposia (2015)
Bruno Lacerda, David Parker, Nick Hawes
Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications. IROS (2014)
Bruno Lacerda, Pedro U. Lima
On the Notion of Uncontrollable Marking in Supervisory Control of Petri Nets. IEEE Trans. Autom. Control. 59 (11) (2014)
Bruno Lacerda, Pedro U. Lima
LTL-based decentralized supervisory control of multi-robot tasks modelled as Petri nets. IROS (2011)
Bruno Lacerda, Pedro U. Lima
Designing Petri Net Supervisors from LTL Specifications. Robotics: Science and Systems (2011)
Bruno Lacerda, Pedro U. Lima
Designing petri net supervisors for multi-agent systems from LTL specifications. AAMAS (2011)