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Noam Brown
Noam Brown
Research Scientist, Facebook AI Research
Verifierad e-postadress på cs.cmu.edu - Startsida
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Superhuman AI for heads-up no-limit poker: Libratus beats top professionals
N Brown, T Sandholm
Science 359 (6374), 418-424, 2018
5382018
Superhuman AI for multiplayer poker
N Brown, T Sandholm
Science 365 (6456), 885-890, 2019
4952019
Safe and nested subgame solving for imperfect-information games
N Brown, T Sandholm
Neural Information Processing Systems, 2017
168*2017
Deep counterfactual regret minimization
N Brown, A Lerer, S Gross, T Sandholm
International Conference on Machine Learning, 2019
1322019
Solving imperfect-information games via discounted regret minimization
N Brown, T Sandholm
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1829-1836, 2019
1022019
Libratus: The Superhuman AI for No-Limit Poker.
N Brown, T Sandholm
IJCAI, 5226-5228, 2017
842017
Hierarchical abstraction, distributed equilibrium computation, and post-processing, with application to a champion no-limit Texas Hold'em agent
N Brown, S Ganzfried, T Sandholm
Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015
772015
Depth-limited solving for imperfect-information games
N Brown, T Sandholm, B Amos
Advances in neural information processing systems 31, 2018
592018
Combining deep reinforcement learning and search for imperfect-information games
N Brown, A Bakhtin, A Lerer, Q Gong
Advances in Neural Information Processing Systems 33, 17057-17069, 2020
542020
Improving Policies via Search in Cooperative Partially Observable Games
A Lerer, H Hu, J Foerster, N Brown
AAAI Conference on Artificial Intelligence, 2020
442020
Dynamic thresholding and pruning for regret minimization
N Brown, C Kroer, T Sandholm
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
432017
Reduced space and faster convergence in imperfect-information games via pruning
N Brown, T Sandholm
International conference on machine learning, 596-604, 2017
35*2017
Simultaneous abstraction and equilibrium finding in games
N Brown, T Sandholm
Twenty-fourth international joint conference on artificial intelligence, 2015
342015
Regret-based pruning in extensive-form games
N Brown, T Sandholm
Advances in neural information processing systems 28, 2015
332015
Regret transfer and parameter optimization
N Brown, T Sandholm
Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
312014
Stable-predictive optimistic counterfactual regret minimization
G Farina, C Kroer, N Brown, T Sandholm
International conference on machine learning, 1853-1862, 2019
252019
DREAM: Deep regret minimization with advantage baselines and model-free learning
E Steinberger, A Lerer, N Brown
arXiv preprint arXiv:2006.10410, 2020
222020
Off-belief learning
H Hu, A Lerer, B Cui, L Pineda, N Brown, J Foerster
International Conference on Machine Learning, 4369-4379, 2021
202021
Strategy-based warm starting for regret minimization in games
N Brown, T Sandholm
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
202016
Human-level performance in no-press diplomacy via equilibrium search
J Gray, A Lerer, A Bakhtin, N Brown
arXiv preprint arXiv:2010.02923, 2020
192020
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Artiklar 1–20