Noam Brown

According to our database, Noam Brown authored at least 38 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

CoRR, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Human-AI Coordination via Human-Regularized Search and Learning.

Hengyuan Hu, David J. Wu, Adam Lerer, Jakob N. Foerster, Noam Brown

CoRR, 2022

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

Proceedings of the International Conference on Machine Learning, 2022

A Fine-Tuning Approach to Belief State Modeling.

Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown

Proceedings of the Tenth International Conference on Learning Representations, 2022

Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization.

Hugh Zhang, Adam Lerer, Noam Brown

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Modeling Strong and Human-Like Gameplay with KL-Regularized Search.

Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Anton Bakhtin, Jacob Andreas, Noam Brown

CoRR, 2021

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings.

Hengyuan Hu, Adam Lerer, Noam Brown, Jakob N. Foerster

CoRR, 2021

Off-Belief Learning.

Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David J. Wu, Noam Brown, Jakob N. Foerster

CoRR, 2021

Scalable Online Planning via Reinforcement Learning Fine-Tuning.

Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

No-Press Diplomacy from Scratch.

Anton Bakhtin, David J. Wu, Adam Lerer, Noam Brown

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Off-Belief Learning.

Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster

Proceedings of the 38th International Conference on Machine Learning, 2021

Human-Level Performance in No-Press Diplomacy via Equilibrium Search.

Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown

Proceedings of the 9th International Conference on Learning Representations, 2021

Safe Search for Stackelberg Equilibria in Extensive-Form Games.

Chun Kai Ling, Noam Brown

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Unlocking the Potential of Deep Counterfactual Value Networks.

Ryan Zarick, Bryan Pellegrino, Noam Brown, Caleb Banister

CoRR, 2020

DREAM: Deep Regret minimization with Advantage baselines and Model-free learning.

Eric Steinberger, Adam Lerer, Noam Brown

CoRR, 2020

Combining Deep Reinforcement Learning and Search for Imperfect-Information Games.

Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Policies via Search in Cooperative Partially Observable Games.

Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Stable-Predictive Optimistic Counterfactual Regret Minimization.

Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm

Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Counterfactual Regret Minimization.

Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm

Proceedings of the 36th International Conference on Machine Learning, 2019

Solving Imperfect-Information Games via Discounted Regret Minimization.

Noam Brown, Tuomas Sandholm

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence.

Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, Kristen Brent Venable, Neal Wagner, Anna Zamansky

AI Mag., 2018

Depth-Limited Solving for Imperfect-Information Games.

Noam Brown, Tuomas Sandholm, Brandon Amos

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Safe and Nested Subgame Solving for Imperfect-Information Games.

Noam Brown, Tuomas Sandholm

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Libratus: The Superhuman AI for No-Limit Poker.

Noam Brown, Tuomas Sandholm

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning.

Noam Brown, Tuomas Sandholm

Proceedings of the 34th International Conference on Machine Learning, 2017

Safe and Nested Endgame Solving for Imperfect-Information Games.

Noam Brown, Tuomas Sandholm

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Reduced Space and Faster Convergence in Imperfect-Information Games via Regret-Based Pruning.

Noam Brown, Tuomas Sandholm

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Dynamic Thresholding and Pruning for Regret Minimization.

Noam Brown, Christian Kroer, Tuomas Sandholm

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Baby Tartanian8: Winning Agent from the 2016 Annual Computer Poker Competition.

Noam Brown, Tuomas Sandholm

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Strategy-Based Warm Starting for Regret Minimization in Games.

Noam Brown, Tuomas Sandholm

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Regret-Based Pruning in Extensive-Form Games.

Noam Brown, Tuomas Sandholm

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Simultaneous Abstraction and Equilibrium Finding in Games.

Noam Brown, Tuomas Sandholm

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

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

Proceedings of the Computer Poker and Imperfect Information, 2015

Tartanian7: A Champion Two-Player No-Limit Texas Hold'em Poker-Playing Program.

Noam Brown, Sam Ganzfried, Tuomas Sandholm

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Regret Transfer and Parameter Optimization.

Noam Brown, Tuomas Sandholm

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014