Nolan Bard

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Michael BowlingUniversity of AlbertaVerified email at ualberta.ca
Neil BurchSony AI & Alberta Machine Intelligence Institute, University of AlbertaVerified email at ualberta.ca
Michael Bradley JohansonArtificial.AgencyVerified email at artificial.agency
Kevin WaughCarnegie Mellon UniversityVerified email at cs.cmu.edu
Martin SchmidGoogle DeepMindVerified email at kam.mff.cuni.cz
Marc LanctotResearch Scientist, Google DeepMindVerified email at google.com
Trevor DavisPhD student, University of AlbertaVerified email at ualberta.ca
Viliam LisýCzech Technical University in Prague & Gen DigitalVerified email at fel.cvut.cz
Subhodeep MoitraGoogleVerified email at google.com
Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
Edward HughesStaff Research Engineer, DeepMindVerified email at google.com
H Francis SongDeepMindVerified email at google.com
Shibl MouradDeepMindVerified email at google.com
Sarath ChandarAssistant Professor @ Polytechnique Montreal. Mila. Canada CIFAR AI Chair.Verified email at polymtl.ca
Marc G. BellemareGoogle BrainVerified email at google.com
Hugo LarochelleGoogle DeepMind & MilaVerified email at google.com
Joshua DavidsonGraduate Student, University of AlbertaVerified email at ualberta.ca
G. Zacharias HollandUniversity of AlbertaVerified email at ualberta.ca
Rudolf KadlecGoogle DeepMindVerified email at google.com
Edward LockhartDeepMindVerified email at deepmind.com

Nolan Bard

Senior Research Scientist, Sony AI

Verified email at ualberta.ca

Agent Modelling Game Theory Reinforcement Learning Multi-agent learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deepstack: Expert-level artificial intelligence in heads-up no-limit poker M Moravčík, M Schmid, N Burch, V Lisý, D Morrill, N Bard, T Davis, ... Science 356 (6337), 508-513, 2017	1144	2017
The hanabi challenge: A new frontier for ai research N Bard, JN Foerster, S Chandar, N Burch, M Lanctot, HF Song, E Parisotto, ... Artificial Intelligence 280, 103216, 2020	380	2020
Efficient Nash equilibrium approximation through Monte Carlo counterfactual regret minimization. M Johanson, N Bard, M Lanctot, RG Gibson, M Bowling Aamas, 837-846, 2012	108	2012
Finding optimal abstract strategies in extensive-form games M Johanson, N Bard, N Burch, M Bowling Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1371-1379, 2012	98	2012
Online implicit agent modelling N Bard, M Johanson, N Burch, M Bowling Proceedings of the 2013 international conference on Autonomous agents and …, 2013	80	2013
Player of games M Schmid, M Moravcik, N Burch, R Kadlec, J Davidson, K Waugh, N Bard, ... arXiv preprint arXiv:2112.03178, 2021	48	2021
Particle filtering for dynamic agent modelling in simplified poker N Bard, M Bowling AAAI, 515-521, 2007	38	2007
Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players TL MacKay, N Bard, M Bowling, DC Hodgins Computers in Human Behavior 31, 419-424, 2014	36	2014
Optimal unbiased estimators for evaluating agent performance M Zinkevich, M Bowling, N Bard, M Kan, D Billings Proceedings of the National Conference on Artificial Intelligence 21 (1), 573, 2006	36	2006
Approximate exploitability: Learning a best response in large games F Timbers, N Bard, E Lockhart, M Lanctot, M Schmid, N Burch, ... arXiv preprint arXiv:2004.09677, 2020	35	2020
A demonstration of the Polaris poker system. MH Bowling, N Abou Risk, N Bard, D Billings, N Burch, J Davidson, ... AAMAS (2), 1391-1392, 2009	28	2009
Strategy grafting in extensive games K Waugh, N Bard, M Bowling Advances in Neural Information Processing Systems 22, 2009	27	2009
The annual computer poker competition N Bard, J Hawkin, J Rubin, M Zinkevich AI Magazine 34 (2), 112-112, 2013	22	2013
Decision-theoretic clustering of strategies N Bard, D Nicholas, C Szepesvári, M Bowling Workshops at the twenty-ninth aaai conference on artificial intelligence, 2015	15*	2015
Asymmetric abstractions for adversarial settings N Bard, M Johanson, M Bowling Proceedings of the 2014 international conference on Autonomous agents and …, 2014	13	2014
The Trellis Security Infrastructure: A Layered Approach to Overlay Metacomputers. M Kan, D Ngo, M Lee, P Lu, N Bard, M Closson, M Ding, M Goldenberg, ... HPCS, 109-117, 2004	11	2004
Human-agent cooperation in bridge bidding E Lockhart, N Burch, N Bard, S Borgeaud, T Eccles, L Smaira, R Smith arXiv preprint arXiv:2011.14124, 2020	6	2020
Online agent modelling in human-scale problems NDC Bard	6	2016
Student of Games: A unified learning algorithm for both perfect and imperfect information games M Schmid, M Moravčík, N Burch, R Kadlec, J Davidson, K Waugh, N Bard, ... Science Advances 9 (46), eadg3256, 2023	4	2023
The Annual Computer Poker Competition webpage N Bard	3	2010

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