Stefano V. Albrecht

141 papers A* 18A 16B 1C 1Misc 1Journal 100Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fairness over Equality: Correcting Social Incentives in Asymmetric Sequential Social Dilemmas. CoRR Alper Demir, Hüseyin Aydin, Kale-ab Abebe Tessera, David Abel, Stefano V. Albrecht
2025	J	`jnl`	ARCANE: A Multi-Agent Framework for Interpretable and Configurable Alignment. CoRR Charlie Masters, Marta Grzeskiewicz, Stefano V. Albrecht
2025	J	`jnl`	Assistax: A Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics. CoRR Leonard Hinckeldey, Elliot Fosong, Elle Miller, Rimvydas Rubavicius, Trevor McInroe, Patricia Wollstadt, Christiane B. Wiebel-Herboth, Subramanian Ramamoorthy, Stefano V. Albrecht
2025	A	`conf`	Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. AAMAS Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2025	J	`jnl`	HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation. CoRR Cheng Wang, Lingxin Kong, Massimiliano Tamborski, Stefano V. Albrecht
2025	J	`jnl`	Highway Graph to Accelerate Reinforcement Learning. Trans. Mach. Learn. Res. Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Qinfeng Shi
2025	J	`jnl`	Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour. CoRR Balint Gyevnar, Christopher G. Lucas, Stefano V. Albrecht, Shay B. Cohen
2025	B	`conf`	LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. COLING Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos J. Storkey
2025	A*	`conf`	Online-to-Offline RL for Agent Alignment. ICLR Xu Liu, Haobo Fu, Stefano V. Albrecht, Qiang Fu, Shuai Li
2025	J	`jnl`	Orchestrating Human-AI Teams: The Manager Agent as a Unifying Research Challenge. CoRR Charlie Masters, Advaith Vellanki, Jiangbo Shangguan, Bart Kultys, Jonathan Gilmore, Alastair Moore, Stefano V. Albrecht
2025	—	`conf`	Orchestrating Human-AI Teams: The Manager Agent as aUnifying Research Challenge. DAI Charlie Masters, Advaith Vellanki, Jiangbo Shangguan, Bart Kultys, Jonathan Gilmore, Alastair Moore, Stefano V. Albrecht
2025	A*	`conf`	People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI. CHI Balint Gyevnar, Stephanie Droop, Tadeg Quillien, Shay B. Cohen, Neil R. Bramley, Christopher G. Lucas, Stefano V. Albrecht
2025	A*	`conf`	Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. ICLR Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher G. Lucas, David Abel, Prakash Panangaden, Stefano V. Albrecht
2025	J	`jnl`	Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. CoRR Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Prakash Panangaden, Christopher G. Lucas, David Abel, Stefano V. Albrecht
2025	J	`jnl`	TAR CoRR Aditya Kapoor, Kale-ab Abebe Tessera, Mayank Baranwal, Harshad Khadilkar, Stefano V. Albrecht, Limin Sun
2025	J	`jnl`	Towards Ethical Multi-Agent Systems of Large Language Models: A Mechanistic Interpretability Perspective. CoRR Jae Hee Lee, Anne Lauscher, Stefano V. Albrecht
2025	J	`jnl`	Using offline data to speed up Reinforcement Learning in procedurally generated environments. Neurocomputing Alain Andres, Lukas Schäfer, Stefano V. Albrecht, Javier Del Ser
2024	J	`jnl`	Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning. CoRR Aditya Kapoor, Sushant Swamy, Kale-ab Abebe Tessera, Mayank Baranwal, Mingfei Sun, Harshad Khadilkar, Stefano V. Albrecht
2024	A	`conf`	Causal Explanations for Sequential Decision-Making in Multi-Agent Systems. AAMAS Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
2024	A*	`conf`	Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. AAAI Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren
2024	A*	`conf`	DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design. ICML Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
2024	J	`jnl`	Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review. CoRR Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, Stefano V. Albrecht
2024	J	`jnl`	Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review. IEEE Trans. Intell. Transp. Syst. Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, Stefano V. Albrecht
2024	J	`jnl`	Highway Graph to Accelerate Reinforcement Learning. CoRR Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Shi
2024	J	`jnl`	HyperMARL: Adaptive Hypernetworks for Multi-Agent RL. CoRR Kale-ab Abebe Tessera, Arrasy Rahman, Stefano V. Albrecht
2024	J	`jnl`	ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design. CoRR Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
2024	J	`jnl`	LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. CoRR Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos J. Storkey
2024	A	`conf`	Learning Complex Teamwork Tasks using a Given Sub-task Decomposition. AAMAS Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht
2024	—	`conf`	MIDGARD: A Robot Navigation Simulator for Outdoor Unstructured Environments. ERF (1) Giuseppe Vecchio, Riccardo Emanuele Sarpietro, Francesco Cancelliere, Simone Palazzo, Dario C. Guastella, Alessandro Strano, Ignacio Carlucho, Giovanni Muscato, Stefano V. Albrecht, Concetto Spampinato
2024	J	`jnl`	Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems. CoRR Sarah Keren, Chaimaa Essayeh, Stefano V. Albrecht, Thomas Mortsyn
2024	J	`jnl`	Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning. Trans. Mach. Learn. Res. Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
2024	J	`jnl`	Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras. RLJ Mhairi Dunion, Stefano V. Albrecht
2024	J	`jnl`	Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras. CoRR Mhairi Dunion, Stefano V. Albrecht
2024	J	`jnl`	Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning. RLJ Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Amos J. Storkey
2024	J	`jnl`	Sample Relationship from Learning Dynamics Matters for Generalisation. CoRR Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith
2024	A	`conf`	Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. IROS Aleksandar Krnjaic, Raul D. Steleac, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Andrew Wing-Keung To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Börsting, Stefano V. Albrecht
2024	J	`jnl`	Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning. CoRR Xuehui Yu, Mhairi Dunion, Xin Li, Stefano V. Albrecht
2024	A*	`conf`	Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning. NeurIPS Xuehui Yu, Mhairi Dunion, Xin Li, Stefano V. Albrecht
2024	A*	`conf`	lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning. ICLR Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith
2023	J	`jnl`	A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning. J. Mach. Learn. Res. Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, Stefano V. Albrecht
2023	J	`jnl`	Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making. CoRR Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
2023	A*	`conf`	Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. NeurIPS Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht
2023	J	`jnl`	Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. CoRR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht
2023	J	`jnl`	Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. CoRR Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren
2023	J	`jnl`	DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving. IEEE Robotics Autom. Lett. Anthony Knittel, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy
2023	J	`jnl`	Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. CoRR Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2023	J	`jnl`	Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity. Trans. Mach. Learn. Res. Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht
2023	J	`jnl`	How the level sampling process impacts zero-shot generalisation in deep reinforcement learning. CoRR Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
2023	J	`jnl`	Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning. CoRR Sabrina McCallum, Max Taylor-Davies, Stefano V. Albrecht, Alessandro Suglia
2023	J	`jnl`	Learning Complex Teamwork Tasks using a Sub-task Curriculum. CoRR Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht
2023	J	`jnl`	Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. Filippos Christianos, Georgios Papoudakis, Stefano V. Albrecht
2023	J	`jnl`	Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning. CoRR Trevor McInroe, Stefano V. Albrecht, Amos J. Storkey
2023	A*	`conf`	Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. ICRA Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
2023	J	`jnl`	Revisiting the Gumbel-Softmax in MADDPG. CoRR Callum Rhys Tilbury, Filippos Christianos, Stefano V. Albrecht
2023	J	`jnl`	SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning. CoRR Adam Michalski, Filippos Christianos, Stefano V. Albrecht
2023	A*	`conf`	Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. ICLR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht
2023	J	`jnl`	Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments. CoRR Alain Andres, Lukas Schäfer, Esther Villar-Rodriguez, Stefano V. Albrecht, Javier Del Ser
2023	A	`conf`	Verifiable Goal Recognition for Autonomous Driving with Occlusions. IROS Cillian Brewitt, Massimiliano Tamborski, Cheng Wang, Stefano V. Albrecht
2022	J	`jnl`	A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning. CoRR Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, Stefano V. Albrecht
2022	J	`jnl`	A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning. CoRR Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
2022	C	`conf`	A Survey of Ad Hoc Teamwork Research. EUMAS Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht
2022	J	`jnl`	A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems. CoRR Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht
2022	J	`jnl`	A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving. IEEE Trans. Robotics Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy
2022	J	`jnl`	Cooperative Marine Operations via Ad Hoc Teams. CoRR Ignacio Carlucho, Arrasy Rahman, William Ard, Elliot Fosong, Corina Barbalata, Stefano V. Albrecht
2022	A	`conf`	Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration. AAMAS Lukas Schäfer, Filippos Christianos, Josiah P. Hanna, Stefano V. Albrecht
2022	J	`jnl`	Deep Reinforcement Learning for Multi-Agent Interaction. CoRR Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht
2022	J	`jnl`	Deep reinforcement learning for multi-agent interaction. AI Commun. Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht
2022	J	`jnl`	DiPA: Diverse and Probabilistically Accurate Interactive Prediction. CoRR Anthony Knittel, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy
2022	A*	`conf`	Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability. ICLR Shangmin Guo, Yi Ren, Kory Wallace Mathewson, Simon Kirby, Stefano V. Albrecht, Kenny Smith
2022	J	`jnl`	Few-Shot Teamwork. CoRR Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht
2022	A	`conf`	Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles. IROS Morris Antonello, Mihai Dobre, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy
2022	J	`jnl`	Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles. CoRR Morris Antonello, Mihai Dobre, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy
2022	J	`jnl`	Learning Representations for Control with Hierarchical Forward Models. CoRR Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
2022	J	`jnl`	Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning. CoRR Lukas Schäfer, Filippos Christianos, Amos J. Storkey, Stefano V. Albrecht
2022	J	`jnl`	MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments. CoRR Giuseppe Vecchio, Simone Palazzo, Dario C. Guastella, Ignacio Carlucho, Stefano V. Albrecht, Giovanni Muscato, Concetto Spampinato
2022	J	`jnl`	Multi-agent systems research in the United Kingdom. AI Commun. Stefano V. Albrecht, Michael J. Wooldridge
2022	J	`jnl`	Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning. CoRR Filippos Christianos, Georgios Papoudakis, Stefano V. Albrecht
2022	J	`jnl`	Perspectives on the System-level Design of a Safe Autonomous Driving Stack. CoRR Majd Hawasly, Jonathan Sadeghi, Morris Antonello, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy
2022	J	`jnl`	Perspectives on the system-level design of a safe autonomous driving stack. AI Commun. Majd Hawasly, Jonathan Sadeghi, Morris Antonello, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy
2022	J	`jnl`	Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. CoRR Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
2022	A*	`conf`	Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning. NeurIPS Rujie Zhong, Duohan Zhang, Lukas Schäfer, Stefano V. Albrecht, Josiah Hanna
2022	J	`jnl`	Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. CoRR Aleksandar Krnjaic, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Peter Börsting, Stefano V. Albrecht
2022	J	`jnl`	Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. CoRR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht
2022	J	`jnl`	Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training Teammates. CoRR Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht
2022	J	`jnl`	Verifiable Goal Recognition for Autonomous Driving with Occlusions. CoRR Cillian Brewitt, Massimiliano Tamborski, Stefano V. Albrecht
2021	A*	`conf`	Agent Modelling under Partial Observability for Deep Reinforcement Learning. NeurIPS Georgios Papoudakis, Filippos Christianos, Stefano V. Albrecht
2021	—	`conf`	Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks. NeurIPS Datasets and Benchmarks Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
2021	J	`jnl`	Decoupling Exploration and Exploitation in Reinforcement Learning. CoRR Lukas Schäfer, Filippos Christianos, Josiah Hanna, Stefano V. Albrecht
2021	J	`jnl`	Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability. CoRR Shangmin Guo, Yi Ren, Kory W. Mathewson, Simon Kirby, Stefano V. Albrecht, Kenny Smith
2021	A	`conf`	GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving. IROS Cillian Brewitt, Balint Gyevnar, Samuel Garcin, Stefano V. Albrecht
2021	J	`jnl`	GRIT: Verifiable Goal Recognition for Autonomous Driving using Decision Trees. CoRR Cillian Brewitt, Balint Gyevnar, Stefano V. Albrecht
2021	A	`conf`	Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. IROS Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht
2021	J	`jnl`	Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. CoRR Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht
2021	A*	`conf`	Interpretable Goal-based Prediction and Planning for Autonomous Driving. ICRA Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Balint Gyevnar, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy
2021	J	`jnl`	Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning. CoRR Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
2021	A	`conf`	PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. IROS Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy
2021	J	`jnl`	Robust On-Policy Data Collection for Data-Efficient Policy Evaluation. CoRR Rujie Zhong, Josiah P. Hanna, Lukas Schäfer, Stefano V. Albrecht
2021	A*	`conf`	Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing. ICML Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht
2021	J	`jnl`	Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing. CoRR Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht
2021	A*	`conf`	Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning. ICML Arrasy Rahman, Niklas Höpner, Filippos Christianos, Stefano V. Albrecht
2021	Misc	`conf`	Towards Quantum-Secure Authentication and Key Agreement via Abstract Multi-Agent Interaction. PAAMS Ibrahim Ahmed, Josiah P. Hanna, Elliot Fosong, Stefano V. Albrecht
2020	J	`jnl`	A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving. CoRR Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy
2020	J	`jnl`	Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms. CoRR Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
2020	J	`jnl`	Integrating Planning and Interpretable Goal Recognition for Autonomous Driving. CoRR Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy
2020	J	`jnl`	Open Ad Hoc Teamwork using Graph-based Policy Learning. CoRR Arrasy Rahman, Niklas Höpner, Filippos Christianos, Stefano V. Albrecht
2020	J	`jnl`	Opponent Modelling with Local Information Variational Autoencoders. CoRR Georgios Papoudakis, Filippos Christianos, Stefano V. Albrecht
2020	J	`jnl`	PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. CoRR Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy
2020	J	`jnl`	Quantum-Secure Authentication via Abstract Multi-Agent Interaction. CoRR Ibrahim Ahmed, Josiah P. Hanna, Stefano V. Albrecht
2020	A*	`conf`	Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning. NeurIPS Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
2020	J	`jnl`	Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning. CoRR Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
2020	J	`jnl`	Special issue on autonomous agents modelling other agents: Guest editorial. Artif. Intell. Stefano V. Albrecht, Peter Stone, Michael P. Wellman
2020	J	`jnl`	Variational Autoencoders for Opponent Modeling in Multi-Agent Systems. CoRR Georgios Papoudakis, Stefano V. Albrecht
2019	J	`jnl`	An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types. CoRR Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
2019	J	`jnl`	Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. CoRR Stefano V. Albrecht, Subramanian Ramamoorthy
2019	J	`jnl`	Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems. CoRR Stefano V. Albrecht, Subramanian Ramamoorthy
2019	J	`jnl`	Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning. CoRR Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht
2019	J	`jnl`	E-HBA: Using Action Policies for Expert Advice and Agent Typification. CoRR Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
2019	J	`jnl`	Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract). CoRR Stefano V. Albrecht, Subramanian Ramamoorthy
2019	J	`jnl`	On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. CoRR Stefano V. Albrecht, Subramanian Ramamoorthy
2019	J	`jnl`	Reasoning about Hypothetical Agent Behaviours and their Parameters. CoRR Stefano V. Albrecht, Peter Stone
2019	J	`jnl`	Stabilizing Generative Adversarial Network Training: A Survey. CoRR Maciej Wiatrak, Stefano V. Albrecht
2018	J	`jnl`	Autonomous agents modelling other agents: A comprehensive survey and open problems. Artif. Intell. Stefano V. Albrecht, Peter Stone
2018	J	`jnl`	Reasoning about Unforeseen Possibilities During Policy Learning. CoRR Craig Innes, Alex Lascarides, Stefano V. Albrecht, Subramanian Ramamoorthy, Benjamin Rosman
2017	J	`jnl`	Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems. CoRR Stefano V. Albrecht, Peter Stone
2017	A*	`conf`	Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract). IJCAI Stefano V. Albrecht, Subramanian Ramamoorthy
2017	A	`conf`	Reasoning about Hypothetical Agent Behaviours and their Parameters. AAMAS Stefano V. Albrecht, Peter Stone
2017	J	`jnl`	Special issue on multiagent interaction without prior coordination: guest editorial. Auton. Agents Multi Agent Syst. Stefano V. Albrecht, Somchaya Liemhetcharat, Peter Stone
2016	J	`jnl`	Belief and truth in hypothesised behaviours. Artif. Intell. Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
2016	J	`jnl`	Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks. J. Artif. Intell. Res. Stefano V. Albrecht, Subramanian Ramamoorthy
2016	—	`ed.`	Multiagent Interaction without Prior Coordination, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016. AAAI Workshop: Multiagent Interaction without Prior Coordination Stefano V. Albrecht, Katie Genter, Somchaya Liemhetcharat
2016	J	`jnl`	Reports of the 2016 AAAI Workshop Program. AI Mag. Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang
2015	J	`jnl`	A Game-Theoretic Model and Best-Response Learning Method for Ad Hoc Coordination in Multiagent Systems. CoRR Stefano V. Albrecht, Subramanian Ramamoorthy
2015	A	`conf`	Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. UAI Stefano V. Albrecht, Subramanian Ramamoorthy
2015	J	`jnl`	Belief and Truth in Hypothesised Behaviours. CoRR Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
2015	J	`jnl`	Reports from the 2015 AAAI Workshop Program. AI Mag. Stefano V. Albrecht, J. Christopher Beck, David L. Buckeridge, Adi Botea, Cornelia Caragea, Chi-Hung Chi, Theodoros Damoulas, Bistra Dilkina, Eric Eaton, Pooyan Fazli, Sam Ganzfried, Marius Lindauer, Marlos C. Machado, Yuri Malitsky, Gary Marcus, Sebastiaan A. Meijer, Francesca Rossi, Arash Shaban-Nejad, Sylvie Thiébaux, Manuela M. Veloso, Toby Walsh, Can Wang, Jie Zhang, Yu Zheng
2015	J	`jnl`	Reports of the AAAI 2014 Conference Workshops. AI Mag. Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
2014	J	`jnl`	Exploiting Causality for Efficient Monitoring in POMDPs. CoRR Stefano V. Albrecht, Subramanian Ramamoorthy
2014	A	`conf`	On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. UAI Stefano V. Albrecht, Subramanian Ramamoorthy
2013	A	`conf`	A game-theoretic model and best-response learning method for ad hoc coordination in multiagent systems. AAMAS Stefano V. Albrecht, Subramanian Ramamoorthy
2013	A	`conf`	Ad hoc coordination in multiagent systems with applications to human-machine interaction. AAMAS Stefano V. Albrecht, Subramanian Ramamoorthy
2012	A	`conf`	Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems. AAMAS Stefano V. Albrecht, Subramanian Ramamoorthy