Noam Brown

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 50

Top Topics

Imperfect Information

Partially Observable

Top Venues

Publications

Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
The Update-Equivalence Framework for Decision-Time Planning. ICLR (2024)
Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. ICML (2023)
Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
The Update Equivalence Framework for Decision-Time Planning. CoRR (2023)
Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. ICLR (2023)
Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. ICLR (2023)
Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. CoRR (2023)
Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. CoRR (2022)
Hugh Zhang, Adam Lerer, Noam Brown
Equilibrium Finding in Normal-Form Games Via Greedy Regret Minimization. CoRR (2022)
Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. CoRR (2022)
Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown
A Fine-Tuning Approach to Belief State Modeling. ICLR (2022)
Hengyuan Hu, David J. Wu, Adam Lerer, Jakob N. Foerster, Noam Brown
Human-AI Coordination via Human-Regularized Search and Learning. CoRR (2022)
Hugh Zhang, Adam Lerer, Noam Brown
Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization. AAAI (2022)
Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown
Modeling Strong and Human-Like Gameplay with KL-Regularized Search. ICML (2022)
Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster
Off-Belief Learning. ICML (2021)
Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David Wu, Noam Brown, Jakob N. Foerster
Off-Belief Learning. CoRR (2021)
Chun Kai Ling, Noam Brown
Safe Search for Stackelberg Equilibria in Extensive-Form Games. AAAI (2021)
Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Anton Bakhtin, Jacob Andreas, Noam Brown
Modeling Strong and Human-Like Gameplay with KL-Regularized Search. CoRR (2021)
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown
Scalable Online Planning via Reinforcement Learning Fine-Tuning. CoRR (2021)
Anton Bakhtin, David Wu, Adam Lerer, Noam Brown
No-Press Diplomacy from Scratch. CoRR (2021)
Anton Bakhtin, David J. Wu, Adam Lerer, Noam Brown
No-Press Diplomacy from Scratch. NeurIPS (2021)
Hengyuan Hu, Adam Lerer, Noam Brown, Jakob N. Foerster
Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings. CoRR (2021)
Chun Kai Ling, Noam Brown
Safe Search for Stackelberg Equilibria in Extensive-Form Games. CoRR (2021)
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown
Scalable Online Planning via Reinforcement Learning Fine-Tuning. NeurIPS (2021)
Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown
Human-Level Performance in No-Press Diplomacy via Equilibrium Search. ICLR (2021)
Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown
Improving Policies via Search in Cooperative Partially Observable Games. AAAI (2020)
Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown
Human-Level Performance in No-Press Diplomacy via Equilibrium Search. CoRR (2020)
Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. NeurIPS (2020)
Ryan Zarick, Bryan Pellegrino, Noam Brown, Caleb Banister
Unlocking the Potential of Deep Counterfactual Value Networks. CoRR (2020)
Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. CoRR (2020)
Eric Steinberger, Adam Lerer, Noam Brown
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning. CoRR (2020)
Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm
Stable-Predictive Optimistic Counterfactual Regret Minimization. ICML (2019)
Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm
Deep Counterfactual Regret Minimization. ICML (2019)
Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm
Stable-Predictive Optimistic Counterfactual Regret Minimization. CoRR (2019)
Noam Brown, Tuomas Sandholm
Solving Imperfect-Information Games via Discounted Regret Minimization. AAAI (2019)
Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown
Improving Policies via Search in Cooperative Partially Observable Games. CoRR (2019)
Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm
Deep Counterfactual Regret Minimization. CoRR (2018)
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
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39 (4) (2018)
Noam Brown, Tuomas Sandholm
Solving Imperfect-Information Games via Discounted Regret Minimization. CoRR (2018)
Noam Brown, Tuomas Sandholm, Brandon Amos
Depth-Limited Solving for Imperfect-Information Games. NeurIPS (2018)
Noam Brown, Tuomas Sandholm, Brandon Amos
Depth-Limited Solving for Imperfect-Information Games. CoRR (2018)
Noam Brown, Tuomas Sandholm
Safe and Nested Endgame Solving for Imperfect-Information Games. AAAI Workshops (2017)
Noam Brown, Tuomas Sandholm
Safe and Nested Subgame Solving for Imperfect-Information Games. NIPS (2017)
Noam Brown, Christian Kroer, Tuomas Sandholm
Dynamic Thresholding and Pruning for Regret Minimization. AAAI (2017)
Noam Brown, Tuomas Sandholm
Reduced Space and Faster Convergence in Imperfect-Information Games via Regret-Based Pruning. AAAI Workshops (2017)
Noam Brown, Tuomas Sandholm
Libratus: The Superhuman AI for No-Limit Poker. IJCAI (2017)
Noam Brown, Tuomas Sandholm
Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning. ICML (2017)
Noam Brown, Tuomas Sandholm
Safe and Nested Subgame Solving for Imperfect-Information Games. CoRR (2017)
Noam Brown, Tuomas Sandholm
Strategy-Based Warm Starting for Regret Minimization in Games. AAAI (2016)
Noam Brown, Tuomas Sandholm
Baby Tartanian8: Winning Agent from the 2016 Annual Computer Poker Competition. IJCAI (2016)
Noam Brown, Tuomas Sandholm
Reduced Space and Faster Convergence in Imperfect-Information Games via Regret-Based Pruning. CoRR (2016)
Noam Brown, Sam Ganzfried, Tuomas Sandholm
Hierarchical Abstraction, Distributed Equilibrium Computation, and Post-Processing, with Application to a Champion No-Limit Texas Hold'em Agent. AAMAS (2015)
Noam Brown, Sam Ganzfried, Tuomas Sandholm
Hierarchical Abstraction, Distributed Equilibrium Computation, and Post-Processing, with Application to a Champion No-Limit Texas Hold'em Agent. AAAI Workshop: Computer Poker and Imperfect Information (2015)
Noam Brown, Sam Ganzfried, Tuomas Sandholm
Tartanian7: A Champion Two-Player No-Limit Texas Hold'em Poker-Playing Program. AAAI (2015)
Noam Brown, Tuomas Sandholm
Simultaneous Abstraction and Equilibrium Finding in Games. IJCAI (2015)
Noam Brown, Tuomas Sandholm
Regret-Based Pruning in Extensive-Form Games. NIPS (2015)
Noam Brown, Tuomas Sandholm
Regret Transfer and Parameter Optimization. AAAI (2014)