Hengyuan Hu

According to our database, Hengyuan Hu authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward Grounded Commonsense Reasoning.

Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Imitation Bootstrapped Reinforcement Learning.

Hengyuan Hu, Suvir Mirchandani, Dorsa Sadigh

CoRR, 2023

Toward Grounded Social Reasoning.

Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh

CoRR, 2023

Language Instructed Reinforcement Learning for Human-AI Coordination.

Hengyuan Hu, Dorsa Sadigh

Proceedings of the International Conference on Machine Learning, 2023

Adversarial Diversity in Hanabi.

Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Human-AI Coordination via Human-Regularized Search and Learning.

Hengyuan Hu, David J. Wu, Adam Lerer, Jakob N. Foerster, Noam Brown

CoRR, 2022

Self-Explaining Deviations for Coordination.

Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Off-Team Learning.

Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the International Conference on Machine Learning, 2022

A Fine-Tuning Approach to Belief State Modeling.

Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings.

Hengyuan Hu, Adam Lerer, Noam Brown, Jakob N. Foerster

CoRR, 2021

Off-Belief Learning.

Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David J. Wu, Noam Brown, Jakob N. Foerster

CoRR, 2021

Scalable Online Planning via Reinforcement Learning Fine-Tuning.

Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

K-level Reasoning for Zero-Shot Coordination in Hanabi.

Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trajectory Diversity for Zero-Shot Coordination.

Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster

Proceedings of the 38th International Conference on Machine Learning, 2021

Off-Belief Learning.

Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster

Proceedings of the 38th International Conference on Machine Learning, 2021

Trajectory Diversity for Zero-Shot Coordination.

Andrei Lupu, Hengyuan Hu, Jakob N. Foerster

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

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, 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

J. Int. Comput. Games Assoc., 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

"Other-Play" for Zero-Shot Coordination.

Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster

Proceedings of the 37th International Conference on Machine Learning, 2020

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning.

Hengyuan Hu, Jakob N. Foerster

Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Policies via Search in Cooperative Partially Observable Games.

Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hierarchical Decision Making by Generating and Following Natural Language Instructions.

Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Deep Restricted Boltzmann Networks.

Hengyuan Hu, Lisheng Gao, Quanbin Ma

CoRR, 2016