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Nolan Bard
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2020 – today
- 2022
- [c12]Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling:
Approximate Exploitability: Learning a Best Response. IJCAI 2022: 3487-3493 - 2021
- [i4]Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Joshua Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, G. Zacharias Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling:
Player of Games. CoRR abs/2112.03178 (2021) - 2020
- [j3]Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling:
The Hanabi challenge: A new frontier for AI research. Artif. Intell. 280: 103216 (2020) - [i3]Edward Lockhart, Neil Burch, Nolan Bard, Sebastian Borgeaud, Tom Eccles, Lucas Smaira, Ray Smith:
Human-Agent Cooperation in Bridge Bidding. CoRR abs/2011.14124 (2020)
2010 – 2019
- 2019
- [i2]Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling:
The Hanabi Challenge: A New Frontier for AI Research. CoRR abs/1902.00506 (2019) - 2017
- [i1]Matej Moravcík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael H. Bowling:
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker. CoRR abs/1701.01724 (2017) - 2015
- [c11]Nolan Bard, Deon Nicholas, Csaba Szepesvári, Michael Bowling:
Decision-Theoretic Clustering of Strategies. AAAI Workshop: Computer Poker and Imperfect Information 2015 - [c10]Nolan Bard, Deon Nicholas, Csaba Szepesvári, Michael H. Bowling:
Decision-theoretic Clustering of Strategies. AAMAS 2015: 17-25 - 2014
- [j2]T. L. MacKay, Nolan Bard, Michael Bowling, David C. Hodgins
:
Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players. Comput. Hum. Behav. 31: 419-424 (2014) - [c9]Nolan Bard, Michael Johanson, Michael H. Bowling:
Asymmetric abstractions for adversarial settings. AAMAS 2014: 501-508 - 2013
- [j1]Nolan Bard, John Alexander Hawkin, Jonathan Rubin, Martin Zinkevich:
The Annual Computer Poker Competition. AI Mag. 34(2): 112- (2013) - [c8]Nolan Bard, Michael Johanson, Neil Burch, Michael Bowling:
Online implicit agent modelling. AAMAS 2013: 255-262 - 2012
- [c7]Michael Johanson, Nolan Bard, Neil Burch, Michael Bowling:
Finding Optimal Abstract Strategies in Extensive-Form Games. AAAI 2012: 1371-1379 - [c6]Michael Johanson, Nolan Bard, Marc Lanctot, Richard G. Gibson, Michael Bowling:
Efficient Nash equilibrium approximation through Monte Carlo counterfactual regret minimization. AAMAS 2012: 837-846
2000 – 2009
- 2009
- [c5]Michael H. Bowling, Nicholas Abou Risk, Nolan Bard, Darse Billings, Neil Burch, Joshua Davidson, John Alexander Hawkin, Robert Holte, Michael Johanson, Morgan Kan, Bryce Paradis, Jonathan Schaeffer, David Schnizlein, Duane Szafron, Kevin Waugh, Martin Zinkevich:
A demonstration of the Polaris poker system. AAMAS (2) 2009: 1391-1392 - [c4]Kevin Waugh, Nolan Bard, Michael H. Bowling:
Strategy Grafting in Extensive Games. NIPS 2009: 2026-2034 - 2007
- [c3]Nolan Bard, Michael H. Bowling:
Particle Filtering for Dynamic Agent Modelling in Simplified Poker. AAAI 2007: 515-521 - 2006
- [c2]Martin Zinkevich, Michael H. Bowling, Nolan Bard, Morgan Kan, Darse Billings:
Optimal Unbiased Estimators for Evaluating Agent Performance. AAAI 2006: 573-579 - 2004
- [c1]Morgan Kan, Danny Ngo, Mark Lee, Paul Lu, Nolan Bard, Michael Closson, Meng Ding, Mark Goldenberg, Nicholas Lamb, Yang Wang, Ron Senda, Edmund Sumbar:
The Trellis Security Infrastructure: A Layered Approach to Overlay Metacomputers . HPCS 2004: 109-117
Coauthor Index
aka: Michael Bowling
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