Hu, Hengyuan

20 publications

ICML 2025 Diffusion Models Are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation Hengyuan Hu, Aniket Das, Dorsa Sadigh, Nima Anari

ICLR 2025 What's the Move? Hybrid Imitation Learning via Salient Points Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh

ICLR 2024 The Update-Equivalence Framework for Decision-Time Planning Samuel Sokota, Gabriele Farina, David J Wu, Hengyuan Hu, Kevin A. Wang, J Zico Kolter, Noam Brown

ICLR 2023 Adversarial Diversity in Hanabi Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J Wu, Jakob Nicolaus Foerster

ICML 2023 Language Instructed Reinforcement Learning for Human-AI Coordination Hengyuan Hu, Dorsa Sadigh

ICLR 2022 A Fine-Tuning Approach to Belief State Modeling Samuel Sokota, Hengyuan Hu, David J Wu, J Zico Kolter, Jakob Nicolaus Foerster, Noam Brown

NeurIPSW 2022 Human-AI Coordination via Human-Regularized Search and Learning Hengyuan Hu, David J Wu, Adam Lerer, Jakob Nicolaus Foerster, Noam Brown

ICML 2022 Modeling Strong and Human-like Gameplay with KL-Regularized Search Athul Paul Jacob, David J Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown

ICLRW 2022 Modeling Strong and Human-like Gameplay with KL-Regularized Search Athul Paul Jacob, David J Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown

NeurIPS 2022 Off-Team Learning Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob Foerster

NeurIPS 2022 Self-Explaining Deviations for Coordination Hengyuan Hu, Samuel Sokota, David Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob Foerster

NeurIPS 2021 K-Level Reasoning for Zero-Shot Coordination in Hanabi Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob Foerster

ICML 2021 Off-Belief Learning Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob Foerster

NeurIPS 2021 Scalable Online Planning via Reinforcement Learning Fine-Tuning Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown

ICML 2021 Trajectory Diversity for Zero-Shot Coordination Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob Foerster

AAAI 2020 Improving Policies via Search in Cooperative Partially Observable Games Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown

NeurIPS 2020 Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob Foerster

ICLR 2020 Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu, Jakob N Foerster

ICML 2020 “Other-Play” for Zero-Shot Coordination Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob Foerster

NeurIPS 2019 Hierarchical Decision Making by Generating and Following Natural Language Instructions Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis