Publications

Noam Brown and Tuomas Sandholm. Safe and Nested Subgame Solving for Imperfect-Information Games. arXiv, 2017. This is the paper to see for now for results on the Libratus poker AI vs. top poker pros competition. Early version appeared as Safe and Nested Endgame Solving for Imperfect-Information Games in the Workshop on Computer Poker and Imperfect Information at the AAAI Conference on Artificial Intelligence (AAAI), 2017.

Noam Brown and Tuomas Sandholm. Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning. To appear in International Conference on Machine Learning (ICML), 2017.

Noam Brown, Christian Kroer, and Tuomas Sandholm. Dynamic Thresholding and Pruning for Regret Minimization. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2017.

Noam Brown and Tuomas Sandholm. Strategy-Based Warm Starting for Regret Minimization in Games. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2016. Extended Version.

Noam Brown and Tuomas Sandholm. Regret-Based Pruning in Extensive-Form Games. In Neural Information Processing Systems (NIPS), 2015. Extended Version.

Noam Brown and Tuomas Sandholm. Simultaneous Abstraction and Equilibrium Finding in Games. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2015. Extended Version.

Noam Brown, Sam Ganzfried, and Tuomas Sandholm. Hierarchical Abstraction, Distributed Equilibrium Computation, and Post-Processing, with Application to a Champion No-Limit Texas Hold'em Agent. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015.

Noam Brown and Tuomas Sandholm. Regret Transfer and Parameter Optimization. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2014. Extended Version.