Hengyuan Hu
19 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π
Triple Crown
π
Grand Slam
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
β
The Questioner
ποΈ
Keyword Collector
(83)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(15)
Core AI
(14)
Reinforcement Learning
(11)
Methods
(9)
Machine Learning
(7)
Applications
(7)
Learning Types Β· Machine Learning
(5)
Deep Learning
(3)
Mathematics & Optimization
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Optimization & Theory
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
multi-agent system
(8)
zero-shot coordination
(5)
multi-agent reinforcement learning
(5)
cooperative game
(4)
reinforcement learning
(3)
search algorithm
(3)
theory of mind
(3)
policy learning
(2)
imitation learning
(2)
decentralized partially observable markov decision process
(2)
off-belief learning
(2)
multi-agent coordination
(2)
ad-hoc coordination
(2)
partially observable markov decision process
(1)
online planning
(1)
game theory
(1)
dynamic programming
(1)
covariate shift
(1)
robotic manipulation
(1)
belief updating
(1)
Papers
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation
ICML 2025
What's the Move? Hybrid Imitation Learning via Salient Points
ICLR 2025
Imitation Bootstrapped Reinforcement Learning
RSS 2024
The Update-Equivalence Framework for Decision-Time Planning
ICLR 2024
Adversarial Diversity in Hanabi
ICLR 2023
Language Instructed Reinforcement Learning for Human-AI Coordination
ICML 2023
A Fine-Tuning Approach to Belief State Modeling
ICLR 2022
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
ICML 2022
Off-Team Learning
NeurIPS 2022
Self-Explaining Deviations for Coordination
NeurIPS 2022
K-level Reasoning for Zero-Shot Coordination in Hanabi
NeurIPS 2021
Off-Belief Learning
ICML 2021
Scalable Online Planning via Reinforcement Learning Fine-Tuning
NeurIPS 2021
Trajectory Diversity for Zero-Shot Coordination
ICML 2021
Improving Policies via Search in Cooperative Partially Observable Games
AAAI 2020
βOther-Playβ for Zero-Shot Coordination
ICML 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
NeurIPS 2020
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
ICLR 2020
Hierarchical Decision Making by Generating and Following Natural Language Instructions
NeurIPS 2019