Noam Brown
Noam Brown
Research Scientist, Facebook AI Research
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Superhuman AI for heads-up no-limit poker: Libratus beats top professionals
N Brown, T Sandholm
Science 359 (6374), 418-424, 2018
3162018
Superhuman AI for multiplayer poker
N Brown, T Sandholm
Science 365 (6456), 885-890, 2019
1882019
Safe and nested subgame solving for imperfect-information games
N Brown, T Sandholm
Advances in neural information processing systems, 689-699, 2017
129*2017
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
AAAI Workshop: Computer Poker and Imperfect Information, 2015
772015
Deep counterfactual regret minimization
N Brown, A Lerer, S Gross, T Sandholm
International Conference on Machine Learning, 2019
582019
Libratus: The Superhuman AI for No-Limit Poker.
N Brown, T Sandholm
IJCAI, 5226-5228, 2017
502017
Solving imperfect-information games via discounted regret minimization
N Brown, T Sandholm
Proceedings of the AAAI Conference on Artificial Intelligence 33, 1829-1836, 2019
482019
Dynamic thresholding and pruning for regret minimization
N Brown, C Kroer, T Sandholm
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
402017
Depth-limited solving for imperfect-information games
N Brown, T Sandholm, B Amos
Advances in neural information processing systems, 7663-7674, 2018
342018
Simultaneous abstraction and equilibrium finding in games
N Brown, TW Sandholm
Carnegie Mellon University, 2015
312015
Reduced space and faster convergence in imperfect-information games via pruning
N Brown, T Sandholm
International conference on machine learning, 596-604, 2017
27*2017
Regret transfer and parameter optimization
N Brown, T Sandholm
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
272014
Regret-based pruning in extensive-form games
N Brown, T Sandholm
Advances in neural information processing systems 28, 1972-1980, 2015
242015
Improving Policies via Search in Cooperative Partially Observable Games
A Lerer, H Hu, J Foerster, N Brown
AAAI Conference on Artificial Intelligence, 2020
172020
Strategy-based warm starting for regret minimization in games
N Brown, T Sandholm
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
172016
Baby Tartanian8: Winning Agent from the 2016 Annual Computer Poker Competition.
N Brown, T Sandholm
IJCAI, 4238-4239, 2016
112016
Stable-predictive optimistic counterfactual regret minimization
G Farina, C Kroer, N Brown, T Sandholm
arXiv preprint arXiv:1902.04982, 2019
92019
Combining deep reinforcement learning and search for imperfect-information games
N Brown, A Bakhtin, A Lerer, Q Gong
arXiv preprint arXiv:2007.13544, 2020
52020
DREAM: Deep regret minimization with advantage baselines and model-free learning
E Steinberger, A Lerer, N Brown
arXiv preprint arXiv:2006.10410, 2020
42020
Tartanian7: A Champion Two-Player No-Limit Texas Hold'em Poker-Playing Program.
N Brown, S Ganzfried, T Sandholm
AAAI, 4270-4271, 2015
32015
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