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Stefano V. Albrecht
Observed names:
Albrecht, Stefano,
Albrecht, Stefano V,
Albrecht, Stefano V.,
Stefano Albrecht,
Stefano V. Albrecht
Institutions:
National University of Singapore,
Nanyang Technological University
Observed institutions:
University of British Columbia,
National University of Singapore,
Nanyang Technological University,
UNSW Sydney,
Google DeepMind (United Kingdom),
The Alan Turing Institute,
The University of Texas at Austin,
University of Edinburgh
show all 8
ORCID:
0000-0002-8735-1465
Observed ORCID:
0000-0002-8735-1465
OpenAlex ID:
A5073739308
Twenty-Ninth AAAI Conference on Artificial Intelligence
2015
·
Stefano V. Albrecht
, Jacob W. Crandall
, et al.
·
National Conference on Artificial Intelligence
·
453
Autonomous agents modelling other agents: A comprehensive survey and open problems
2018
·
Stefano V. Albrecht
, Peter Stone
·
Artificial Intelligence
·
416
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence
2015
·
Stefano V. Albrecht
, Jacob W. Crandall
, et al.
·
National Conference on Artificial Intelligence
·
243
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012)
2012
·
Stefano V. Albrecht
, Ram Ramamoorthy
·
Adaptive Agents and Multi-Agents Systems
·
161
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
2024
·
Anton Kuznietsov
, Balint Gyevnar
, et al.
·
IEEE Transactions on Intelligent Transportation Systems
·
144
PDF
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
2019
·
Papoudakis, Georgios
, Christianos, Filippos
, et al.
·
arXiv (Cornell University)
·
132
PDF
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
2020
·
Papoudakis, Georgios
, Christianos, Filippos
, et al.
·
arXiv (Cornell University)
·
96
PDF
A game-theoretic model and best-response learning method for ad hoc coordination in multiagent systems
2013
·
Stefano V. Albrecht
, Subramanian Ramamoorthy
·
Adaptive Agents and Multi-Agents Systems
·
80
PDF
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
2020
·
Christianos, Filippos
, Schäfer, Lukas
, et al.
·
arXiv (Cornell University)
·
71
PDF
Stabilizing Generative Adversarial Networks: A Survey
2019
·
Wiatrak, Maciej
, Albrecht, Stefano V.
, et al.
·
arXiv (Cornell University)
·
67
PDF
Belief and truth in hypothesised behaviours
2016
·
Stefano V. Albrecht
, Jacob W. Crandall
, et al.
·
Artificial Intelligence
·
59
PDF
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
2021
·
Christianos, Filippos
, Papoudakis, Georgios
, et al.
·
arXiv (Cornell University)
·
58
PDF
A Survey of Ad Hoc Teamwork Research
2022
·
Reuth Mirsky
, Ignacio Carlucho
, et al.
·
Lecture notes in computer science
·
43
PDF
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
2024
·
Aleksandar Krnjaic
, Raul D. Steleac
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
40
PDF
Reasoning about Hypothetical Agent Behaviours and their Parameters
2017
·
Stefano V. Albrecht
, Peter Stone
·
Adaptive Agents and Multi-Agents Systems
·
35
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving
2021
·
Cillian Brewitt
, Balint Gyevnar
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
26
PDF
Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems
2012
·
Stefano V. Albrecht
, Subramanian Ramamoorthy
·
26
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving
2021
·
Henry Pulver
, Francisco Eiras
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
24
PDF
Deep reinforcement learning for multi-agent interaction
2022
·
Ibrahim H. Ahmed
, Cillian Brewitt
, et al.
·
AI Communications
·
22
PDF
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles
2021
·
Josiah P. Hanna
, Arrasy Rahman
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
21
PDF
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
2020
·
Rahman, Arrasy
, Höpner, Niklas
, et al.
·
arXiv (Cornell University)
·
21
PDF
Agent Modelling under Partial Observability for Deep Reinforcement Learning
2020
·
Papoudakis, Georgios
, Christianos, Filippos
, et al.
·
arXiv (Cornell University)
·
18
PDF
Variational Autoencoders for Opponent Modeling in Multi-Agent Systems
2020
·
Papoudakis, Georgios
, Albrecht, Stefano V.
·
arXiv (Cornell University)
·
17
PDF
On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems
2019
·
Albrecht, Stefano V.
, Ramamoorthy, Subramanian
·
arXiv (Cornell University)
·
16
PDF
AAMAS '13 Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
2013
·
Stefano V. Albrecht
, Ram Ramamoorthy
·
Adaptive Agents and Multi-Agents Systems
·
16
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Works count:
115
Citation count:
2,620
H-index:
21
I10-index:
34
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