Hengyuan Hu | DeepAI

DeepAI AI Chat

Featured Co-authors

Dorsa Sadigh
102 publications
J. Zico Kolter
94 publications
Yu-Wing Tai
83 publications
Gabriel Synnaeve
73 publications
Yuandong Tian
69 publications
Jacob Andreas
65 publications
Mike Lewis
64 publications
Stuart Russell
64 publications
Chi-Keung Tang
54 publications
Aldo Pacchiano
53 publications
Jakob Foerster
51 publications

∙ 06/14/2023

Toward Grounded Social Reasoning

Consider a robot tasked with tidying a desk with a meticulously construc...

0 Minae Kwon, et al. ∙

∙ 04/25/2023

The Update Equivalence Framework for Decision-Time Planning

The process of revising (or constructing) a policy immediately prior to ...

0 Samuel Sokota, et al. ∙

∙ 04/13/2023

Language Instructed Reinforcement Learning for Human-AI Coordination

One of the fundamental quests of AI is to produce agents that coordinate...

0 Hengyuan Hu, et al. ∙

∙ 10/11/2022

Human-AI Coordination via Human-Regularized Search and Learning

We consider the problem of making AI agents that collaborate well with h...

0 Hengyuan Hu, et al. ∙

∙ 07/14/2022

K-level Reasoning for Zero-Shot Coordination in Hanabi

The standard problem setting in cooperative multi-agent settings is self...

0 Brandon Cui, et al. ∙

∙ 12/14/2021

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

We consider the task of building strong but human-like policies in multi...

0 Athul Paul Jacob, et al. ∙

∙ 09/30/2021

Scalable Online Planning via Reinforcement Learning Fine-Tuning

Lookahead search has been a critical component of recent AI successes, s...

4 Arnaud Fickinger, et al. ∙

∙ 06/16/2021

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings

Search is an important tool for computing effective policies in single- ...

0 Hengyuan Hu, et al. ∙

∙ 03/06/2021

Off-Belief Learning

The standard problem setting in Dec-POMDPs is self-play, where the goal ...

0 Hengyuan Hu, et al. ∙

∙ 11/12/2020

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

Over the last decade, a single algorithm has changed many facets of our ...

11 Jack Parker-Holder, et al. ∙

∙ 03/06/2020

"Other-Play" for Zero-Shot Coordination

We consider the problem of zero-shot coordination - constructing AI agen...

0 Hengyuan Hu, et al. ∙

∙ 01/27/2020

Polygames: Improved Zero Learning

Since DeepMind's AlphaZero, Zero learning quickly became the state-of-th...

12 Tristan Cazenave, et al. ∙

∙ 12/05/2019

Improving Policies via Search in Cooperative Partially Observable Games

Recent superhuman results in games have largely been achieved in a varie...

0 Adam Lerer, et al. ∙

∙ 12/04/2019

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

In recent years we have seen fast progress on a number of benchmark prob...

17 Hengyuan Hu, et al. ∙

∙ 06/03/2019

Hierarchical Decision Making by Generating and Following Natural Language Instructions

We explore using latent natural language instructions as an expressive a...

4 Hengyuan Hu, et al. ∙

∙ 07/12/2016

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

State-of-the-art neural networks are getting deeper and wider. While the...

0 Hengyuan Hu, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world