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Stefano V. Albrecht
Title
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Cited by
Year
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
SV Albrecht, P Stone
Artificial Intelligence 258, 66-95, 2018
3572018
Dealing with non-stationarity in multi-agent deep reinforcement learning
G Papoudakis, F Christianos, A Rahman, SV Albrecht
arXiv preprint arXiv:1906.04737, 2019
1152019
A Game-Theoretic Model and Best-Response Learning Method for Ad Hoc Coordination in Multiagent Systems
SV Albrecht, S Ramamoorthy
Proceedings of the 12th International Conference on Autonomous Agents and …, 2013
902013
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
G Papoudakis, F Christianos, L Schäfer, SV Albrecht
Conference on Neural Information Processing Systems (NeurIPS), 2021
75*2021
Shared experience actor-critic for multi-agent reinforcement learning
F Christianos, L Schäfer, SV Albrecht
Conference on Neural Information Processing Systems (NeurIPS), 2020
652020
Belief and truth in hypothesised behaviours
SV Albrecht, JW Crandall, S Ramamoorthy
Artificial Intelligence 235, 63-94, 2016
652016
Stabilizing generative adversarial networks: A survey
M Wiatrak, SV Albrecht, A Nystrom
arXiv preprint arXiv:1910.00927, 2019
62*2019
Reasoning about hypothetical agent behaviours and their parameters
SV Albrecht, P Stone
Proceedings of the 16th International Conference on Autonomous Agents and …, 2017
552017
Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems
SV Albrecht, S Ramamoorthy
Proceedings of the 11th International Conference on Autonomous Agents and …, 2012
31*2012
Interpretable goal-based prediction and planning for autonomous driving
SV Albrecht, C Brewitt, J Wilhelm, B Gyevnar, F Eiras, M Dobre, ...
IEEE International Conference on Robotics and Automation (ICRA), 2021
30*2021
On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems
SV Albrecht, S Ramamoorthy
Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence …, 2014
29*2014
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
F Christianos, G Papoudakis, A Rahman, SV Albrecht
International Conference on Machine Learning (ICML), 2021
262021
Exploiting causality for selective belief filtering in dynamic Bayesian networks
SV Albrecht, S Ramamoorthy
Journal of Artificial Intelligence Research 55, 1135-1178, 2016
252016
Towards open ad hoc teamwork using graph-based policy learning
MA Rahman, N Hopner, F Christianos, SV Albrecht
International Conference on Machine Learning, 8776-8786, 2021
24*2021
An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types
SV Albrecht, JW Crandall, S Ramamoorthy
Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI-15), 2015
222015
Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models
SV Albrecht, S Ramamoorthy
Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence …, 2015
18*2015
Variational autoencoders for opponent modeling in multi-agent systems
G Papoudakis, SV Albrecht
arXiv preprint arXiv:2001.10829, 2020
162020
Agent modelling under partial observability for deep reinforcement learning
G Papoudakis, F Christianos, S Albrecht
Advances in Neural Information Processing Systems 34, 19210-19222, 2021
152021
Special issue on multiagent interaction without prior coordination: Guest editorial
SV Albrecht, S Liemhetcharat, P Stone
Autonomous Agents and Multi-Agent Systems 31 (4), 765-766, 2017
152017
A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems
R Mirsky, I Carlucho, A Rahman, E Fosong, W Macke, M Sridharan, ...
arXiv preprint arXiv:2202.10450, 2022
102022
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