Hengyuan Hu - RankMe

46 papers A* 19A 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Asking the Right Questions: Improving Reasoning with Generated Stepping Stones. CoRR Hengyuan Hu, Tingchen Fu, Minqi Jiang, Alexander H. Miller, Yoram Bachrach, Jakob Nicolaus Foerster
2025	A*	`conf`	Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation. ICML Hengyuan Hu, Aniket Das, Dorsa Sadigh, Nima Anari
2025	J	`jnl`	Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation. CoRR Hengyuan Hu, Aniket Das, Dorsa Sadigh, Nima Anari
2025	J	`jnl`	HoMeR: Learning In-the-Wild Mobile Manipulation via Hybrid Imitation and Whole-Body Control. CoRR Priya Sundaresan, Rhea Malhotra, Phillip Miao, Jingyun Yang, Jimmy Wu, Hengyuan Hu, Rika Antonova, Francis Engelmann, Dorsa Sadigh, Jeannette Bohg
2025	J	`jnl`	Robot Spatial error Analysis and compensation based on WOA-ELM. Int. J. Robotics Autom. Caidong Wang, Yongfeng Tian, Huadong Zheng, Hengyuan Hu, Xin Zhang
2025	J	`jnl`	Superhuman AI for Stratego Using Self-Play Reinforcement Learning and Test-Time Search. CoRR Samuel Sokota, Eugene Vinitsky, Hengyuan Hu, J. Zico Kolter, Gabriele Farina
2025	A*	`conf`	What's the Move? Hybrid Imitation Learning via Salient Points. ICLR Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh
2024	—	`conf`	Imitation Bootstrapped Reinforcement Learning. Robotics: Science and Systems Hengyuan Hu, Suvir Mirchandani, Dorsa Sadigh
2024	A*	`conf`	The Update-Equivalence Framework for Decision-Time Planning. ICLR Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
2024	A*	`conf`	Toward Grounded Commonsense Reasoning. ICRA Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh
2024	J	`jnl`	What's the Move? Hybrid Imitation Learning via Salient Points. CoRR Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh
2023	A*	`conf`	Adversarial Diversity in Hanabi. ICLR Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster
2023	J	`jnl`	Imitation Bootstrapped Reinforcement Learning. CoRR Hengyuan Hu, Suvir Mirchandani, Dorsa Sadigh
2023	A*	`conf`	Language Instructed Reinforcement Learning for Human-AI Coordination. ICML Hengyuan Hu, Dorsa Sadigh
2023	J	`jnl`	Language Instructed Reinforcement Learning for Human-AI Coordination. CoRR Hengyuan Hu, Dorsa Sadigh
2023	J	`jnl`	The Update Equivalence Framework for Decision-Time Planning. CoRR Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
2023	J	`jnl`	Toward Grounded Social Reasoning. CoRR Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh
2022	A*	`conf`	A Fine-Tuning Approach to Belief State Modeling. ICLR Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown
2022	J	`jnl`	Human-AI Coordination via Human-Regularized Search and Learning. CoRR Hengyuan Hu, David J. Wu, Adam Lerer, Jakob N. Foerster, Noam Brown
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`	Modeling Strong and Human-Like Gameplay with KL-Regularized Search. ICML Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown
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	A*	`conf`	K-level Reasoning for Zero-Shot Coordination in Hanabi. NeurIPS Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster
2021	J	`jnl`	Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings. CoRR Hengyuan Hu, Adam Lerer, Noam Brown, Jakob N. Foerster
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`	Scalable Online Planning via Reinforcement Learning Fine-Tuning. NeurIPS Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown
2021	J	`jnl`	Scalable Online Planning via Reinforcement Learning Fine-Tuning. CoRR Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown
2021	A	`conf`	Trajectory Diversity for Zero-Shot Coordination. AAMAS Andrei Lupu, Hengyuan Hu, Jakob N. Foerster
2021	A*	`conf`	Trajectory Diversity for Zero-Shot Coordination. ICML Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster
2020	A*	`conf`	"Other-Play" for Zero-Shot Coordination. ICML Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster
2020	J	`jnl`	"Other-Play" for Zero-Shot Coordination. CoRR Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster
2020	A*	`conf`	Improving Policies via Search in Cooperative Partially Observable Games. AAAI Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown
2020	J	`jnl`	Polygames: Improved Zero Learning. CoRR 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
2020	J	`jnl`	Polygames: Improved zero learning. ICGA J. 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
2020	A*	`conf`	Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. NeurIPS Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob N. Foerster
2020	J	`jnl`	Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. CoRR Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alex Peysakhovich, Aldo Pacchiano, Jakob N. Foerster
2020	A*	`conf`	Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning. ICLR Hengyuan Hu, Jakob N. Foerster
2019	A*	`conf`	Hierarchical Decision Making by Generating and Following Natural Language Instructions. NeurIPS Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis
2019	J	`jnl`	Hierarchical Decision Making by Generating and Following Natural Language Instructions. CoRR Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis
2019	J	`jnl`	Improving Policies via Search in Cooperative Partially Observable Games. CoRR Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown
2019	J	`jnl`	Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning. CoRR Hengyuan Hu, Jakob N. Foerster
2016	J	`jnl`	Deep Restricted Boltzmann Networks. CoRR Hengyuan Hu, Lisheng Gao, Quanbin Ma
2016	J	`jnl`	Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures. CoRR Hengyuan Hu, Rui Peng, Yu-Wing Tai, Chi-Keung Tang