| 2026 | AAAI | Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics. | Yang You, Alex Schutz, Zhikun Li, Bruno Lacerda, Robert Skilton, Nick Hawes |
| 2025 | ICML | Return Capping: Sample Efficient CVaR Policy Gradient Optimisation. | Harry Mead, Clarissa Costen, Bruno Lacerda, Nick Hawes |
| 2025 | IJCAI | A Finite-State Controller Based Offline Solver for Deterministic POMDPs. | Alex Schutz, Yang You, Matas Mattamala, Ipek Caliskanelli, Bruno Lacerda, Nick Hawes |
| 2025 | IROS | Multi-Agent Pickup and Delivery with Mobile Pickups. | Benedetta Flammini, Nick Hawes, Bruno Lacerda |
| 2024 | AAAI | Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. | Matthew Budd, Bruno Lacerda, Nick Hawes |
| 2024 | ECAI | Hierarchical Planning for Resource-Constrained Long-Term Monitoring Missions in Time-Varying Environments. | Alex Stephens, Bruno Lacerda, Nick Hawes |
| 2024 | IROS | Planning for Long-Term Monitoring Missions in Time-Varying Environments. | Alex Stephens, Bruno Lacerda, Nick Hawes |
| 2023 | AAAI | Planning with Hidden Parameter Polynomial MDPs. | Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes |
| 2023 | AAAI | Multi-Unit Auctions for Allocating Chance-Constrained Resources. | Anna Gautier, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge |
| 2023 | ECAI | Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. | Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes |
| 2023 | HRI | Variable Autonomy for Human-Robot Teaming (VAT). | Manolis Chiou, Serena Booth, Bruno Lacerda, Andreas Theodorou, Simon Rothfu |
| 2022 | CoRL | Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. | Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda |
| 2022 | IJCAI | Shared Autonomy Systems with Stochastic Operator Models. | Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes |
| 2022 | IROS | Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks. | Matthew Budd, Georgios Salavasidis, Izzat Karnarudzaman, Catherine A. Harris, Alexander B. Phillips, Paul Duckworth, Nick Hawes, Bruno Lacerda |
| 2021 | AAAI | Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. | Marc Rigter, Bruno Lacerda, Nick Hawes |
| 2021 | ICRA | Active Inference for Integrated State-Estimation, Control, and Learning. | Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes |
| 2020 | CoRL | Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. | Paul Duckworth, Bruno Lacerda, Nick Hawes |
| 2020 | IROS | Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks. | Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima |
| 2020 | IROS | Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes. | Matthew Budd, Bruno Lacerda, Paul Duckworth, Andrew West, Barry Lennox, Nick Hawes |
| 2019 | IJCAI | Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. | Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora |
| 2018 | IROS | Simultaneous Task Allocation and Planning Under Uncertainty. | Fatma Faruq, David Parker, Bruno Lacerda, Nick Hawes |
| 2016 | ECAI | Partial Order Temporal Plan Merging for Mobile Robot Tasks. | Lenka Mudrov, Bruno Lacerda, Nick Hawes |
| 2015 | IJCAI | Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications. | Bruno Lacerda, David Parker, Nick Hawes |
| 2015 | ICRA | Now or later? Predicting and maximising success of navigation actions from long-term experience. | Jaime Pulido Fentanes, Bruno Lacerda, Toms Krajnk, Nick Hawes, Marc Hanheide |
| 2014 | IROS | Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications. | Bruno Lacerda, David Parker, Nick Hawes |
| 2011 | IROS | LTL-based decentralized supervisory control of multi-robot tasks modelled as Petri nets. | Bruno Lacerda, Pedro U. Lima |