| 2025 | CHI | People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI. | Balint Gyevnar, Stephanie Droop, Tadeg Quillien, Shay B. Cohen, Neil R. Bramley, Christopher G. Lucas, Stefano V. Albrecht |
| 2025 | COLING | LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. | Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos J. Storkey |
| 2025 | ICLR | Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. | Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher G. Lucas, David Abel, Prakash Panangaden, Stefano V. Albrecht |
| 2025 | ICLR | Online-to-Offline RL for Agent Alignment. | Xu Liu, Haobo Fu, Stefano V. Albrecht, Qiang Fu, Shuai Li |
| 2024 | AAAI | Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. | Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren |
| 2024 | ICLR | lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning. | Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith |
| 2024 | ICML | DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design. | Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht |
| 2024 | IROS | Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. | Aleksandar Krnjaic, Raul D. Steleac, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schfer, Andrew Wing-Keung To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Brsting, Stefano V. Albrecht |
| 2023 | ICLR | Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. | Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht |
| 2023 | ICRA | Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. | Filippos Christianos, Pter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone |
| 2023 | IROS | Verifiable Goal Recognition for Autonomous Driving with Occlusions. | Cillian Brewitt, Massimiliano Tamborski, Cheng Wang, Stefano V. Albrecht |
| 2022 | EUMAS | A Survey of Ad Hoc Teamwork Research. | Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht |
| 2022 | ICLR | Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability. | Shangmin Guo, Yi Ren, Kory Wallace Mathewson, Simon Kirby, Stefano V. Albrecht, Kenny Smith |
| 2022 | IROS | Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles. | Morris Antonello, Mihai Dobre, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy |
| 2021 | ICML | Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing. | Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht |
| 2021 | ICML | Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning. | Arrasy Rahman, Niklas Hpner, Filippos Christianos, Stefano V. Albrecht |
| 2021 | ICRA | Interpretable Goal-based Prediction and Planning for Autonomous Driving. | Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Balint Gyevnar, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy |
| 2021 | IROS | GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving. | Cillian Brewitt, Balint Gyevnar, Samuel Garcin, Stefano V. Albrecht |
| 2021 | IROS | Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. | Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht |
| 2021 | IROS | PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. | Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy |
| 2021 | PAAMS | Towards Quantum-Secure Authentication and Key Agreement via Abstract Multi-Agent Interaction. | Ibrahim Ahmed, Josiah P. Hanna, Elliot Fosong, Stefano V. Albrecht |
| 2017 | IJCAI | Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract). | Stefano V. Albrecht, Subramanian Ramamoorthy |
| 2015 | UAI | Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. | Stefano V. Albrecht, Subramanian Ramamoorthy |
| 2014 | UAI | On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. | Stefano V. Albrecht, Subramanian Ramamoorthy |
| 2012 | AAMAS | Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems. | Stefano V. Albrecht, Subramanian Ramamoorthy |