Brandon Cui - RankMe

20 papers A* 9A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text. CoRR Ximing Lu, David Acuna, Jaehun Jung, Jian Hu, Di Zhang, Shizhe Diao, Yunheng Zou, Shaokun Zhang, Brandon Cui, Mingjie Liu, Hyunwoo Kim, Prithviraj Ammanabrolu, Jan Kautz, Yi Dong, Yejin Choi
2025	J	`jnl`	A State-of-the-Art SQL Reasoning Model using RLVR. CoRR Alnur Ali, Ashutosh Baheti, Jonathan Chang, Ta-Chung Chi, Brandon Cui, Andrew Drozdov, Jonathan Frankle, Abhay Gupta, Pallavi Koppol, Sean Kulinski, Jonathan Li, Dipendra Misra, Krista Opsahl-Ong, Jose Javier Gonzalez Ortiz, Matei Zaharia, Yue Zhang
2024	J	`jnl`	Critique-out-Loud Reward Models. CoRR Zachary Ankner, Mansheej Paul, Brandon Cui, Jonathan D. Chang, Prithviraj Ammanabrolu
2023	A*	`conf`	Adversarial Diversity in Hanabi. ICLR Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster
2022	A	`conf`	CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CGO Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather
2022	J	`jnl`	K-level Reasoning for Zero-Shot Coordination in Hanabi. CoRR Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster
2022	A*	`conf`	Off-Team Learning. NeurIPS Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster
2022	A*	`conf`	Self-Explaining Deviations for Coordination. NeurIPS Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster
2022	J	`jnl`	Self-Explaining Deviations for Coordination. CoRR Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster
2021	J	`jnl`	CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CoRR Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather
2021	A*	`conf`	Control-Aware Representations for Model-based Reinforcement Learning. ICLR Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh
2021	A*	`conf`	K-level Reasoning for Zero-Shot Coordination in Hanabi. NeurIPS Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster
2021	A*	`conf`	Learning Space Partitions for Path Planning. NeurIPS Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
2021	J	`jnl`	Learning Space Partitions for Path Planning. CoRR Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
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`	Trajectory Diversity for Zero-Shot Coordination. ICML Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster
2021	A*	`conf`	Variational Model-based Policy Optimization. IJCAI Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh
2020	J	`jnl`	Control-Aware Representations for Model-based Reinforcement Learning. CoRR Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh
2020	J	`jnl`	Variational Model-based Policy Optimization. CoRR Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh