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ORCIDHengyuan Hu
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2020 – today
- 2024
[c18]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- [c17]Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh:
Toward Grounded Commonsense Reasoning. ICRA 2024: 5463-5470 - 2023
- [c16]Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster:
Adversarial Diversity in Hanabi. ICLR 2023 - [c15]Hengyuan Hu, Dorsa Sadigh:
Language Instructed Reinforcement Learning for Human-AI Coordination. ICML 2023: 13584-13598 - [i18]Hengyuan Hu, Dorsa Sadigh:
Language Instructed Reinforcement Learning for Human-AI Coordination. CoRR abs/2304.07297 (2023) - [i17]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 abs/2304.13138 (2023) - [i16]Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh:
Toward Grounded Social Reasoning. CoRR abs/2306.08651 (2023) - [i15]Hengyuan Hu, Suvir Mirchandani, Dorsa Sadigh:
Imitation Bootstrapped Reinforcement Learning. CoRR abs/2311.02198 (2023) - 2022
- [c14]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 - [c13]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: 9695-9728 - [c12]Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster:
Off-Team Learning. NeurIPS 2022 - [c11]Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster:
Self-Explaining Deviations for Coordination. NeurIPS 2022 - [i14]Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster:
K-level Reasoning for Zero-Shot Coordination in Hanabi. CoRR abs/2207.07166 (2022) - [i13]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) - [i12]Hengyuan Hu, David J. Wu, Adam Lerer, Jakob N. Foerster, Noam Brown:
Human-AI Coordination via Human-Regularized Search and Learning. CoRR abs/2210.05125 (2022) - 2021
- [c10]Andrei Lupu, Hengyuan Hu, Jakob N. Foerster:
Trajectory Diversity for Zero-Shot Coordination. AAMAS 2021: 1593-1595 - [c9]Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster:
Off-Belief Learning. ICML 2021: 4369-4379 - [c8]Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster:
Trajectory Diversity for Zero-Shot Coordination. ICML 2021: 7204-7213 - [c7]Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster:
K-level Reasoning for Zero-Shot Coordination in Hanabi. NeurIPS 2021: 8215-8228 - [c6]Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown:
Scalable Online Planning via Reinforcement Learning Fine-Tuning. NeurIPS 2021: 16951-16963 - [i11]Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David J. Wu, Noam Brown, Jakob N. Foerster:
Off-Belief Learning. CoRR abs/2103.04000 (2021) - [i10]Hengyuan Hu, Adam Lerer, Noam Brown, Jakob N. Foerster:
Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings. CoRR abs/2106.09086 (2021) - [i9]Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown:
Scalable Online Planning via Reinforcement Learning Fine-Tuning. CoRR abs/2109.15316 (2021) - 2020
- [j1]Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko:
Polygames: Improved zero learning. J. Int. Comput. Games Assoc. 42(4): 244-256 (2020) - [c5]Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown:
Improving Policies via Search in Cooperative Partially Observable Games. AAAI 2020: 7187-7194 - [c4]Hengyuan Hu, Jakob N. Foerster:
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning. ICLR 2020 - [c3]Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster:
"Other-Play" for Zero-Shot Coordination. ICML 2020: 4399-4410 - [c2]Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob N. Foerster:
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. NeurIPS 2020 - [i8]Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko:
Polygames: Improved Zero Learning. CoRR abs/2001.09832 (2020) - [i7]Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster:
"Other-Play" for Zero-Shot Coordination. CoRR abs/2003.02979 (2020) - [i6]Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alex Peysakhovich, Aldo Pacchiano, Jakob N. Foerster:
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. CoRR abs/2011.06505 (2020)
2010 – 2019
- 2019
- [c1]Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis:
Hierarchical Decision Making by Generating and Following Natural Language Instructions. NeurIPS 2019: 10025-10034 - [i5]Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis:
Hierarchical Decision Making by Generating and Following Natural Language Instructions. CoRR abs/1906.00744 (2019) - [i4]Hengyuan Hu, Jakob N. Foerster:
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning. CoRR abs/1912.02288 (2019) - [i3]Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown:
Improving Policies via Search in Cooperative Partially Observable Games. CoRR abs/1912.02318 (2019) - 2016
- [i2]Hengyuan Hu, Rui Peng, Yu-Wing Tai, Chi-Keung Tang:
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures. CoRR abs/1607.03250 (2016) - [i1]Hengyuan Hu, Lisheng Gao, Quanbin Ma:
Deep Restricted Boltzmann Networks. CoRR abs/1611.07917 (2016)
Coauthor Index
aka: Jakob Nicolaus Foerster
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