Hengyuan Hu

发表

Learning Deep Generative Models With Discrete Latent Variables

Ruslan Salakhutdinov, Hengyuan Hu, R. Salakhutdinov, 2018 .

"Other-Play" for Zero-Shot Coordination

Jakob N. Foerster, Adam Lerer, A. Peysakhovich, 2020, ICML.

M ODELING S TRONG AND H UMAN - LIKE G AMEPLAY WITH KL-R EGULARIZED S EARCH

Hengyuan Hu, Gabriele Farina, 2022 .

Self-Explaining Deviations for Coordination

Jakob N. Foerster, A. Bakhtin, A. Lupu, 2022, NeurIPS.

BELIEF STATE MODELING

Hengyuan Hu, Samuel Sokota, David J. Wu, 2022 .

Human-level play in the game of Diplomacy by combining language models with strategic reasoning

Alexander H. Miller, Athul Paul Jacob, Adam Lerer, 2022, Science.

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures pdf

Rui Peng, Chi-Keung Tang, Yu-Wing Tai, 2016, ArXiv.

Off-Belief Learning pdf

Brandon Cui, Adam Lerer, Noam Brown, 2021, ICML.

Hierarchical Decision Making by Generating and Following Natural Language Instructions

Yuandong Tian, Mike Lewis, Denis Yarats, 2019, NeurIPS.

Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian pdf

Aldo Pacchiano, Jack Parker-Holder, Luke Metz, 2020, NeurIPS.

Improving Policies via Search in Cooperative Partially Observable Games

Jakob N. Foerster, Adam Lerer, Noam Brown, 2019, AAAI.

A Fine-Tuning Approach to Belief State Modeling

J. Z. Kolter, Noam Brown, Hengyuan Hu, 2022, ICLR.

Language Instructed Reinforcement Learning for Human-AI Coordination

Dorsa Sadigh, Hengyuan Hu, 2023, ArXiv.

Trajectory Diversity for Zero-Shot Coordination

Hengyuan Hu, Andrei Lupu, Jakob N. Foerster, 2021, AAMAS.

The Update Equivalence Framework for Decision-Time Planning

J. Z. Kolter, Noam Brown, Hengyuan Hu, 2023, ArXiv.

Scalable Online Planning via Reinforcement Learning Fine-Tuning pdf

Stuart J. Russell, Stuart Russell, Brandon Amos, 2021, NeurIPS.

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Jakob N. Foerster, Hengyuan Hu, 2019, ICLR.

Toward Grounded Social Reasoning

A. Dragan, Minae Kwon, Dorsa Sadigh, 2023, ArXiv.

Language Instructed Reinforcement Learning for Human-AI Coordination

Dorsa Sadigh, Hengyuan Hu, 2023, ICML.

K-level Reasoning for Zero-Shot Coordination in Hanabi

Hengyuan Hu, Brandon Cui, Luis Pineda, 2022, NeurIPS.

Human-AI Coordination via Human-Regularized Search and Learning

Adam Lerer, Noam Brown, Hengyuan Hu, 2022, ArXiv.

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

Adam Lerer, Noam Brown, Hengyuan Hu, 2021, ArXiv.

Polygames: Improved Zero Learning pdf

Olivier Teytaud, Yen-Chi Chen, Shi-Jim Yen, 2020, J. Int. Comput. Games Assoc..

Toward Grounded Commonsense Reasoning

A. Dragan, Minae Kwon, Dorsa Sadigh, 2023, 2306.08651.