Noam Brown - RankMe

56 papers A* 26A 1Journal 24Unranked 5

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