| 2024 | ICLR | The Update-Equivalence Framework for Decision-Time Planning. | Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown |
| 2023 | ICLR | Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. | Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown |
| 2023 | ICLR | A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. | Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer |
| 2023 | ICML | Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. | Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown |
| 2022 | AAAI | Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization. | Hugh Zhang, Adam Lerer, Noam Brown |
| 2022 | ICLR | A Fine-Tuning Approach to Belief State Modeling. | Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown |
| 2022 | ICML | Modeling Strong and Human-Like Gameplay with KL-Regularized Search. | Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown |
| 2021 | AAAI | Safe Search for Stackelberg Equilibria in Extensive-Form Games. | Chun Kai Ling, Noam Brown |
| 2021 | ICLR | Human-Level Performance in No-Press Diplomacy via Equilibrium Search. | Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown |
| 2021 | ICML | Off-Belief Learning. | Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster |
| 2020 | AAAI | Improving Policies via Search in Cooperative Partially Observable Games. | Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown |
| 2019 | AAAI | Solving Imperfect-Information Games via Discounted Regret Minimization. | Noam Brown, Tuomas Sandholm |
| 2019 | ICML | Deep Counterfactual Regret Minimization. | Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm |
| 2019 | ICML | Stable-Predictive Optimistic Counterfactual Regret Minimization. | Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm |
| 2017 | AAAI | Dynamic Thresholding and Pruning for Regret Minimization. | Noam Brown, Christian Kroer, Tuomas Sandholm |
| 2017 | AAAI | Reduced Space and Faster Convergence in Imperfect-Information Games via Regret-Based Pruning. | Noam Brown, Tuomas Sandholm |
| 2017 | AAAI | Safe and Nested Endgame Solving for Imperfect-Information Games. | Noam Brown, Tuomas Sandholm |
| 2017 | ICML | Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning. | Noam Brown, Tuomas Sandholm |
| 2017 | IJCAI | Libratus: The Superhuman AI for No-Limit Poker. | Noam Brown, Tuomas Sandholm |
| 2016 | AAAI | Strategy-Based Warm Starting for Regret Minimization in Games. | Noam Brown, Tuomas Sandholm |
| 2016 | IJCAI | Baby Tartanian8: Winning Agent from the 2016 Annual Computer Poker Competition. | Noam Brown, Tuomas Sandholm |
| 2015 | AAAI | Tartanian7: A Champion Two-Player No-Limit Texas Hold'em Poker-Playing Program. | Noam Brown, Sam Ganzfried, Tuomas Sandholm |
| 2015 | AAAI | Hierarchical Abstraction, Distributed Equilibrium Computation, and Post-Processing, with Application to a Champion No-Limit Texas Hold'em Agent. | Noam Brown, Sam Ganzfried, Tuomas Sandholm |
| 2015 | IJCAI | Simultaneous Abstraction and Equilibrium Finding in Games. | Noam Brown, Tuomas Sandholm |
| 2014 | AAAI | Regret Transfer and Parameter Optimization. | Noam Brown, Tuomas Sandholm |