Deep Restricted Boltzmann Networks. - Hengyuan Hu; Lisheng Gao; Quanbin Ma (CoRR, 2016)

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures. - Hengyuan Hu; Rui Peng; Yu-Wing Tai; Chi-Keung Tang (CoRR, 2016)

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

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

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

"Other-Play" for Zero-Shot Coordination. - Hengyuan Hu; Adam Lerer; Alex Peysakhovich; Jakob N. Foerster (ICML, 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 N. Foerster (NeurIPS, 2020)

Polygames: Improved zero learning. - 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; et al. (J. Int. Comput. Games Assoc., 2020)

Trajectory Diversity for Zero-Shot Coordination. - Andrei Lupu; Hengyuan Hu; Jakob N. Foerster (AAMAS, 2021)

Off-Belief Learning. - Hengyuan Hu; Adam Lerer; Brandon Cui; Luis Pineda; Noam Brown; Jakob N. Foerster (ICML, 2021)

Trajectory Diversity for Zero-Shot Coordination. - Andrei Lupu; Brandon Cui; Hengyuan Hu; Jakob N. Foerster (ICML, 2021)

K-level Reasoning for Zero-Shot Coordination in Hanabi. - Brandon Cui; Hengyuan Hu; Luis Pineda; Jakob N. Foerster (NeurIPS, 2021)

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

Off-Belief Learning. - Hengyuan Hu; Adam Lerer; Brandon Cui; Luis Pineda; David J. Wu 002; Noam Brown; Jakob N. Foerster (CoRR, 2021)

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings. - Hengyuan Hu; Adam Lerer; Noam Brown; Jakob N. Foerster (CoRR, 2021)

A Fine-Tuning Approach to Belief State Modeling. - Samuel Sokota; Hengyuan Hu; David J. Wu 002; J. Zico Kolter; Jakob Nicolaus Foerster; Noam Brown (ICLR, 2022)

Modeling Strong and Human-Like Gameplay with KL-Regularized Search. - Athul Paul Jacob; David J. Wu 002; Gabriele Farina; Adam Lerer; Hengyuan Hu; Anton Bakhtin; Jacob Andreas; Noam Brown (ICML, 2022)

Off-Team Learning. - Brandon Cui; Hengyuan Hu; Andrei Lupu; Samuel Sokota; Jakob N. Foerster (NeurIPS, 2022)

Self-Explaining Deviations for Coordination. - Hengyuan Hu; Samuel Sokota; David J. Wu 002; Anton Bakhtin; Andrei Lupu; Brandon Cui; Jakob N. Foerster (NeurIPS, 2022)

Human-AI Coordination via Human-Regularized Search and Learning. - Hengyuan Hu; David J. Wu 002; Adam Lerer; Jakob N. Foerster; Noam Brown (CoRR, 2022)

Adversarial Diversity in Hanabi. - Brandon Cui; Andrei Lupu; Samuel Sokota; Hengyuan Hu; David J. Wu 002; Jakob Nicolaus Foerster (ICLR, 2023)

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

Toward Grounded Social Reasoning. - Minae Kwon; Hengyuan Hu; Vivek Myers; Siddharth Karamcheti; Anca D. Dragan; Dorsa Sadigh (CoRR, 2023)

The Update-Equivalence Framework for Decision-Time Planning. - Samuel Sokota; Gabriele Farina; David J. Wu 002; Hengyuan Hu; Kevin A. Wang; J. Zico Kolter; Noam Brown (ICLR, 2024)

Toward Grounded Commonsense Reasoning. - Minae Kwon; Hengyuan Hu; Vivek Myers; Siddharth Karamcheti; Anca D. Dragan; Dorsa Sadigh (ICRA, 2024)

Imitation Bootstrapped Reinforcement Learning. - Hengyuan Hu; Suvir Mirchandani; Dorsa Sadigh (Robotics: Science and Systems, 2024)

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

Robot Spatial error Analysis and compensation based on WOA-ELM. - Caidong Wang; Yongfeng Tian; Huadong Zheng; Hengyuan Hu; Xin Zhang (Int. J. Robotics Autom., 2025)

Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation. - Hengyuan Hu; Aniket Das; Dorsa Sadigh; Nima Anari (CoRR, 2025)

HoMeR: Learning In-the-Wild Mobile Manipulation via Hybrid Imitation and Whole-Body Control. - Priya Sundaresan; Rhea Malhotra; Phillip Miao; Jingyun Yang; Jimmy Wu; Hengyuan Hu; Rika Antonova; Francis Engelmann; Dorsa Sadigh; Jeannette Bohg (CoRR, 2025)