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All publications by Tuomas Sandholm
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Regret-Based Pruning in Extensive-Form Games
Noam Brown and Tuomas Sandholm
Advances in Neural Information Processing Systems 28, 2015


Diverse Randomized Agents Vote to Win
Albert Jiang, Leandro S. Marcolino, Ariel D. Procaccia, Tuomas Sandholm, Nisarg Shah and Milind Tambe
Advances in Neural Information Processing Systems 27, 2014


Communication complexity as a lower bound for learning in games
Vincent Conitzer and Tuomas Sandholm
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Preference Elicitation and Query Learning
Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm and Martin Zinkevich
Journal of Machine Learning Research, 2004


BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games
Vincent Conitzer and Tuomas Sandholm
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents
Vincent C. An and Tuomas Sandholm
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning Near-Pareto-Optimal Conventions in Polynomial Time
Xiaofeng Wang and Tuomas Sandholm
Advances in Neural Information Processing Systems 16, 2003


Reinforcement Learning to Play an Optimal Nash Equilibrium in Team Markov Games
Xiaofeng Wang and Tuomas Sandholm
Advances in Neural Information Processing Systems 15, 2002