Brandon Cui

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 17

Top Topics

Distributed Agents

Reinforcement Learning

Optimization Process

Top Venues

Publications

Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster
Adversarial Diversity in Hanabi. ICLR (2023)
Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster
Self-Explaining Deviations for Coordination. CoRR (2022)
Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster
Off-Team Learning. NeurIPS (2022)
Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster
Self-Explaining Deviations for Coordination. NeurIPS (2022)
Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CGO (2022)
Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster
K-level Reasoning for Zero-Shot Coordination in Hanabi. CoRR (2022)
Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster
Off-Belief Learning. ICML (2021)
Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CoRR (2021)
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
Learning Space Partitions for Path Planning. CoRR (2021)
Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David Wu, Noam Brown, Jakob N. Foerster
Off-Belief Learning. CoRR (2021)
Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh
Control-Aware Representations for Model-based Reinforcement Learning. ICLR (2021)
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
Learning Space Partitions for Path Planning. NeurIPS (2021)
Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster
K-level Reasoning for Zero-Shot Coordination in Hanabi. NeurIPS (2021)
Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster
Trajectory Diversity for Zero-Shot Coordination. ICML (2021)
Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh
Variational Model-based Policy Optimization. IJCAI (2021)
Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh
Control-Aware Representations for Model-based Reinforcement Learning. CoRR (2020)
Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh
Variational Model-based Policy Optimization. CoRR (2020)