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Publications by Bard, Nolan

In Journal (refereed)

1. N. Bard, J. Foerster, S. Chandar, N. Burch, M. Lanctot, H. Song, E. Parisotto, V. Dumoulin, S. Moitra, E. Hughes, I. Dunning, S. Mourad, H. Larochelle, M. Bellemare, M. Bowling. "The Hanabi challenge: A new frontier for AI research". Artificial Intelligence, 280, pp 103216, March 2020. PDFview
2. M. Moravcík, M. Schmid, N. Burch, V. Lisy, D. Morrill, N. Bard, T. Davis, K. Waugh, M. Johanson, M. Bowling. "Deepstack: Expert-level artificial intelligence in heads-up no-limit poker". Science, 356(6337), pp 508-513, May 2017. view
3. T. MacKay, N. Bard, M. Bowling, D. Hodgins. "Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players". Computer in Human Behavior, 31, pp 419-424, February 2014. view

In Conference (refereed)

4. N. Bard, D. Nicholas, C. Szepesvari, M. Bowling. "Decision-theoretic clustering of strategies". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Gerhard Weiss, Pinar Yolum, Rafael H. Bordini, Edith Elkind), pp 17-25, May 2015. view
5. N. Bard, M. Johanson, M. Bowling. "Asymmetric abstractions for adversarial settings". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Ana L. C. Bazzan, Michael N. Huhns, Alessio Lomuscio, Paul Scerri), pp 501-508, May 2014. view
6. N. Bard, M. Johanson, N. Burch, M. Bowling. "Online implicit agent modelling". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Maria L. Gini, Onn Shehory, Takayuki Ito, Catholijn M. Jonker), pp 255-262, May 2013. view
7. K. Waugh, N. Bard, M. Bowling. "Strategy Grafting in Extensive Games". Neural Information Processing Systems (NIPS), (ed: Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams and A. Culotta), pp 2026--2034, December 2009. PDFview
8. N. Bard, M. Bowling. "Particle Filtering for Dynamic Agent Modelling in Simplified Poker". National Conference on Artificial Intelligence (AAAI), April 2007. PDFview
9. M. Zinkevich, M. Bowling, N. Bard, M. Kan, D. Billings. "Optimal unbiased estimators for evaluating agent performance". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 573-578, January 2006. PDFview

Other Categories

10. N. Bard. "Using State Estimation for Dynamic Agent Modelling". MSc Thesis, University of Alberta, March 2008. PDFview
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