Nolan Bard
Nolan Bard
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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
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
Efficient Nash equilibrium approximation through Monte Carlo counterfactual regret minimization.
M Johanson, N Bard, M Lanctot, RG Gibson, M Bowling
Aamas, 837-846, 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
Online implicit agent modelling
N Bard, M Johanson, N Burch, M Bowling
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
Particle filtering for dynamic agent modelling in simplified poker
N Bard, M Bowling
AAAI, 515-521, 2007
Optimal unbiased estimators for evaluating agent performance
M Zinkevich, M Bowling, N Bard, M Kan, D Billings
AAAI, 573-579, 2006
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
Deepstack: expert-level artificial intelligence in no-limit poker. CoRR abs/1701.01724 (2017)
M Moravcík, M Schmid, N Burch, V Lisý, D Morrill, N Bard, T Davis, ...
arXiv preprint arXiv:1701.01724, 2017
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
Strategy grafting in extensive games
K Waugh, N Bard, M Bowling
Advances in Neural Information Processing Systems 22, 2009
Player of games
M Schmid, M Moravcik, N Burch, R Kadlec, J Davidson, K Waugh, N Bard, ...
arXiv preprint arXiv:2112.03178, 2021
Asymmetric abstractions for adversarial settings
N Bard, M Johanson, M Bowling
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
Decision-theoretic clustering of strategies
N Bard, D Nicholas, C Szepesvári, M Bowling
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
The annual computer poker competition
N Bard, J Hawkin, J Rubin, M Zinkevich
AI Magazine 34 (2), 112-112, 2013
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
Online agent modelling in human-scale problems
NDC Bard
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
Using state estimation for dynamic agent modelling
NDC Bard
University of Alberta, 2008
Approximate Exploitability: Learning a Best Response
F Timbers, N Bard, E Lockhart, M Lanctot, M Schmid, N Burch, ...
IJCAI, Jul, 2022
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