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2020 – today
- 2024
[i8]Zachary Ankner, Mansheej Paul, Brandon Cui, Jonathan D. Chang, Prithviraj Ammanabrolu:
Critique-out-Loud Reward Models. CoRR abs/2408.11791 (2024)- 2023
- [c10]Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster:
Adversarial Diversity in Hanabi. ICLR 2023 - 2022
- [c9]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: 92-105 - [c8]Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster:
Off-Team Learning. NeurIPS 2022 - [c7]Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster:
Self-Explaining Deviations for Coordination. NeurIPS 2022 - [i7]Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster:
K-level Reasoning for Zero-Shot Coordination in Hanabi. CoRR abs/2207.07166 (2022) - [i6]Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster:
Self-Explaining Deviations for Coordination. CoRR abs/2207.12322 (2022) - 2021
- [c6]Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh:
Control-Aware Representations for Model-based Reinforcement Learning. ICLR 2021 - [c5]Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster:
Off-Belief Learning. ICML 2021: 4369-4379 - [c4]Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster:
Trajectory Diversity for Zero-Shot Coordination. ICML 2021: 7204-7213 - [c3]Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh:
Variational Model-based Policy Optimization. IJCAI 2021: 2292-2299 - [c2]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: 378-391 - [c1]Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster:
K-level Reasoning for Zero-Shot Coordination in Hanabi. NeurIPS 2021: 8215-8228 - [i5]Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David J. Wu, Noam Brown, Jakob N. Foerster:
Off-Belief Learning. CoRR abs/2103.04000 (2021) - [i4]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 abs/2106.10544 (2021) - [i3]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 abs/2109.08267 (2021) - 2020
- [i2]Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh:
Variational Model-based Policy Optimization. CoRR abs/2006.05443 (2020) - [i1]Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh:
Control-Aware Representations for Model-based Reinforcement Learning. CoRR abs/2006.13408 (2020)
Coauthor Index
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