Stefano V. Albrecht
Orcid: 0000-0002-8735-1465Affiliations:
- University of Edinburgh, UK
According to our database1,
Stefano V. Albrecht
authored at least 85 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design.
CoRR, 2024
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Robotics Autom. Lett., 2023
Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning.
CoRR, 2023
CoRR, 2023
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning.
CoRR, 2023
CoRR, 2023
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments.
CoRR, 2023
CoRR, 2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning.
CoRR, 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
IEEE Trans. Robotics, 2022
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers.
CoRR, 2022
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning.
CoRR, 2022
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning.
CoRR, 2022
MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments.
CoRR, 2022
AI Commun., 2022
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Multi-Agent Systems - 19th European Conference, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning.
CoRR, 2021
Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability.
CoRR, 2021
CoRR, 2021
Towards Quantum-Secure Authentication and Key Agreement via Abstract Multi-Agent Interaction.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Artif. Intell., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems.
CoRR, 2019
2018
Artif. Intell., 2018
2017
Auton. Agents Multi Agent Syst., 2017
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract).
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
2016
J. Artif. Intell. Res., 2016
2015
PhD thesis, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
2013
Ad hoc coordination in multiagent systems with applications to human-machine interaction.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013
A game-theoretic model and best-response learning method for ad hoc coordination in multiagent systems.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013
2012
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012