Ikuti
Stefano V. Albrecht
Stefano V. Albrecht
School of Informatics, University of Edinburgh
Email yang diverifikasi di ed.ac.uk - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
SV Albrecht, P Stone
Artificial Intelligence 258, 66-95, 2018
6192018
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
337*2021
Dealing with non-stationarity in multi-agent deep reinforcement learning
G Papoudakis, F Christianos, A Rahman, SV Albrecht
arXiv preprint arXiv:1906.04737, 2019
2482019
Shared experience actor-critic for multi-agent reinforcement learning
F Christianos, L Schäfer, SV Albrecht
Conference on Neural Information Processing Systems (NeurIPS), 2020
2112020
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
F Christianos, G Papoudakis, A Rahman, SV Albrecht
International Conference on Machine Learning (ICML), 2021
1492021
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
1482013
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
SV Albrecht, F Christianos, L Schäfer
MIT Press, www.marl-book.com, 2024
1462024
Stabilizing generative adversarial networks: A survey
M Wiatrak, SV Albrecht, A Nystrom
arXiv preprint arXiv:1910.00927, 2019
1382019
Belief and Truth in Hypothesised Behaviours
SV Albrecht, JW Crandall, S Ramamoorthy
Artificial Intelligence 235, 63-94, 2016
912016
A survey of ad hoc teamwork research
R Mirsky, I Carlucho, A Rahman, E Fosong, W Macke, M Sridharan, ...
European conference on multi-agent systems, 275-293, 2022
85*2022
Reasoning about hypothetical agent behaviours and their parameters
SV Albrecht, P Stone
Proceedings of the 16th International Conference on Autonomous Agents and …, 2017
852017
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
81*2021
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
782021
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
682021
A two-stage optimization-based motion planner for safe urban driving
F Eiras, M Hawasly, SV Albrecht, S Ramamoorthy
IEEE Transactions on Robotics 38 (2), 822-834, 2021
512021
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration
L Schäfer, F Christianos, JP Hanna, SV Albrecht
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2022
46*2022
Variational autoencoders for opponent modeling in multi-agent systems
G Papoudakis, SV Albrecht
arXiv preprint arXiv:2001.10829, 2020
462020
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving
C Brewitt, B Gyevnar, S Garcin, SV Albrecht
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
392021
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
37*2014
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
35*2012
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