| Game theory-based opponent modeling in large imperfect-information games S Ganzfried, T Sandholm The 10th International Conference on Autonomous Agents and Multiagent …, 2011 | 150 | 2011 |
| Predicting hurricane trajectories using a recurrent neural network S Alemany, J Beltran, A Perez, S Ganzfried Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 468-475, 2019 | 149 | 2019 |
| 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 International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015 | 82 | 2015 |
| Endgame Solving in Large Imperfect-Information Games S Ganzfried, T Sandholm International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015 | 71* | 2015 |
| Safe opponent exploitation S Ganzfried, T Sandholm ACM Transactions on Economics and Computation (TEAC) 3 (2), 1-28, 2015 | 64 | 2015 |
| Potential-aware imperfect-recall abstraction with earth mover's distance in imperfect-information games S Ganzfried, T Sandholm AAAI, 682-690, 2014 | 58 | 2014 |
| Computing equilibria in multiplayer stochastic games of imperfect information S Ganzfried, TW Sandholm Carnegie Mellon University, 2009 | 54 | 2009 |
| Computing an approximate jam/fold equilibrium for 3-player no-limit Texas Hold'em tournaments S Ganzfried, T Sandholm Proceedings of the 7th international joint conference on Autonomous agents …, 2008 | 46 | 2008 |
| Action Translation in Extensive-Form Games with Large Action Spaces: Axioms, Paradoxes, and the Pseudo-Harmonic Mapping S Ganzfried, T Sandholm Proceedings of the International Joint Conference on Artificial Intelligence …, 2013 | 36 | 2013 |
| Strategy purification and thresholding: Effective non-equilibrium approaches for playing large games S Ganzfried, T Sandholm, K Waugh Proceedings of the 11th International Conference on Autonomous Agents and …, 2012 | 32* | 2012 |
| Computing equilibria by incorporating qualitative models S Ganzfried, T Sandholm Proceedings of the 9th International Conference on Autonomous Agents and …, 2010 | 32 | 2010 |
| Bayesian opponent exploitation in imperfect-information games S Ganzfried, Q Sun 2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018 | 23 | 2018 |
| Reflections on the First Man versus Machine No-Limit Texas Hold ‘em Competition S Ganzfried AI Magazine 38 (2), 77-85, 2017 | 16* | 2017 |
| Fictitious play outperforms counterfactual regret minimization S Ganzfried arXiv preprint arXiv:2001.11165, 2020 | 14 | 2020 |
| Parallel algorithm for Nash equilibrium in multiplayer stochastic games with application to naval strategic planning S Ganzfried, C Laughlin, C Morefield Distributed Artificial Intelligence: Second International Conference, DAI …, 2020 | 13* | 2020 |
| Optimal weighting for exam composition S Ganzfried, F Yusuf Education Sciences 8 (1), 36, 2018 | 13 | 2018 |
| Algorithm for Computing Approximate Nash Equilibrium in Continuous Games with Application to Continuous Blotto S Ganzfried Games 12 (2), 47, 2021 | 12 | 2021 |
| Computing human-understandable strategies: deducing fundamental rules of poker strategy S Ganzfried, F Yusuf Games 8 (4), 49, 2017 | 11* | 2017 |
| A Simple Algorithm for Knight’s Tours S Ganzfried, P Cull Math. Oregon State Univ 1, 63-90, 2004 | 10* | 2004 |
| Tartanian7: a champion two-player no-limit texas hold'em poker-playing program N Brown, S Ganzfried, T Sandholm Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 9 | 2015 |
