Hengyuan Hu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 37

Top Topics

Max Sum Algorithm

Reinforcement Learning

Partially Observable

Top Venues

Publications

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)
Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh
Toward Grounded Commonsense Reasoning. ICRA (2024)
Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster
Adversarial Diversity in Hanabi. ICLR (2023)
Hengyuan Hu, Suvir Mirchandani, Dorsa Sadigh
Imitation Bootstrapped Reinforcement Learning. CoRR (2023)
Hengyuan Hu, Dorsa Sadigh
Language Instructed Reinforcement Learning for Human-AI Coordination. ICML (2023)
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 (2023)
Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh
Toward Grounded Social Reasoning. CoRR (2023)
Hengyuan Hu, Dorsa Sadigh
Language Instructed Reinforcement Learning for Human-AI Coordination. CoRR (2023)
Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster
Self-Explaining Deviations for Coordination. CoRR (2022)
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)
Hengyuan Hu, David J. Wu, Adam Lerer, Jakob N. Foerster, Noam Brown
Human-AI Coordination via Human-Regularized Search and Learning. 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)
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)
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)
Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David Wu, Noam Brown, Jakob N. Foerster
Off-Belief Learning. CoRR (2021)
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown
Scalable Online Planning via Reinforcement Learning Fine-Tuning. CoRR (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)
Hengyuan Hu, Adam Lerer, Noam Brown, Jakob N. Foerster
Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings. CoRR (2021)
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown
Scalable Online Planning via Reinforcement Learning Fine-Tuning. NeurIPS (2021)
Andrei Lupu, Hengyuan Hu, Jakob N. Foerster
Trajectory Diversity for Zero-Shot Coordination. AAMAS (2021)
Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown
Improving Policies via Search in Cooperative Partially Observable Games. AAAI (2020)
Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster
"Other-Play" for Zero-Shot Coordination. CoRR (2020)
Hengyuan Hu, Jakob N. Foerster
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning. ICLR (2020)
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 (2020)
Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster
"Other-Play" for Zero-Shot Coordination. ICML (2020)
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) (2020)
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)
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 (2020)
Hengyuan Hu, Jakob N. Foerster
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning. CoRR (2019)
Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis
Hierarchical Decision Making by Generating and Following Natural Language Instructions. NeurIPS (2019)
Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis
Hierarchical Decision Making by Generating and Following Natural Language Instructions. CoRR (2019)
Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown
Improving Policies via Search in Cooperative Partially Observable Games. CoRR (2019)
Hengyuan Hu, Lisheng Gao, Quanbin Ma
Deep Restricted Boltzmann Networks. CoRR (2016)
Hengyuan Hu, Rui Peng, Yu-Wing Tai, Chi-Keung Tang
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures. CoRR (2016)