Audrūnas Gruslys
Audrūnas Gruslys
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Cited by
Cited by
Value-decomposition networks for cooperative multi-agent learning
P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ...
arXiv preprint arXiv:1706.05296, 2017
Deep q-learning from demonstrations
T Hester, M Vecerik, O Pietquin, M Lanctot, T Schaul, B Piot, D Horgan, ...
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
A unified game-theoretic approach to multiagent reinforcement learning
M Lanctot, V Zambaldi, A Gruslys, A Lazaridou, K Tuyls, J Pérolat, D Silver, ...
Advances in neural information processing systems 30, 2017
Comparing, optimizing, and benchmarking quantum-control algorithms in a unifying programming framework
S Machnes, U Sander, SJ Glaser, P de Fouquieres, A Gruslys, S Schirmer, ...
Physical Review A—Atomic, Molecular, and Optical Physics 84 (2), 022305, 2011
Memory-efficient backpropagation through time
A Gruslys, R Munos, I Danihelka, M Lanctot, A Graves
Advances in neural information processing systems 29, 2016
Three-dimensional digital template atlas of the macaque brain
C Reveley, A Gruslys, FQ Ye, D Glen, J Samaha, B E. Russ, Z Saad, ...
Cerebral cortex 27 (9), 4463-4477, 2017
Mastering the game of Stratego with model-free multiagent reinforcement learning
J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ...
Science 378 (6623), 990-996, 2022
The reactor: A fast and sample-efficient actor-critic agent for reinforcement learning
A Gruslys, W Dabney, MG Azar, B Piot, M Bellemare, R Munos
arXiv preprint arXiv:1704.04651, 2017
Neural replicator dynamics: Multiagent learning via hedging policy gradients
D Hennes, D Morrill, S Omidshafiei, R Munos, J Perolat, M Lanctot, ...
Proceedings of the 19th international conference on autonomous agents and …, 2020
Psychlab: a psychology laboratory for deep reinforcement learning agents
JZ Leibo, CM d'Autume, D Zoran, D Amos, C Beattie, K Anderson, ...
arXiv preprint arXiv:1801.08116, 2018
Navigating the landscape of multiplayer games
S Omidshafiei, K Tuyls, WM Czarnecki, FC Santos, M Rowland, J Connor, ...
Nature communications 11 (1), 5603, 2020
The advantage regret-matching actor-critic
A Gruslys, M Lanctot, R Munos, F Timbers, M Schmid, J Perolat, D Morrill, ...
arXiv preprint arXiv:2008.12234, 2020
A new fast accurate nonlinear medical image registration program including surface preserving regularization
A Gruslys, J Acosta-Cabronero, PJ Nestor, GB Williams, RE Ansorge
IEEE transactions on medical imaging 33 (11), 2118-2127, 2014
3000 non-rigid medical image registrations overnight on a single PC
A Gruslys, S Sawiak, R Ansorge
2011 IEEE Nuclear Science Symposium Conference Record, 3073-3080, 2011
Fast computation of Nash equilibria in imperfect information games
R Munos, J Perolat, JB Lespiau, M Rowland, B De Vylder, M Lanctot, ...
International Conference on Machine Learning, 7119-7129, 2020
E Russ B, Saad Z, K Seth A, Leopold DA, Saleem KS, 2017
C Reveley, A Gruslys, FQ Ye, D Glen, J Samaha
Three-dimensional digital template atlas of the macaque brain. Cereb. Cortex …, 0
Training action selection neural networks using leave-one-out-updates
M Gendron-Bellemare, MG Azar, A Gruslys, R Munos
US Patent 11,604,997, 2023
Quantile credit assignment
T Mesnard, W Chen, A Saade, Y Tang, M Rowland, T Weber, C Lyle, ...
International Conference on Machine Learning, 24517-24531, 2023
Navigating the Landscape of Multiplayer Games to Probe the Drosophila of AI
S Omidshafiei, K Tuyls, WM Czarnecki, FC Santos, M Rowland, J Connor, ...
arXiv e-prints, arXiv: 2005.01642, 2020
Development and applications of GPU based medical image registration
A Gruslys
University of Cambridge, 2014
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