Yuhang Jiang
14 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π€
Dynamic Duo
(12)
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Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(81)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Reinforcement Learning
(10)
Methods
(10)
Core AI
(9)
Learning Types Β· Machine Learning
(8)
Deep Learning
(3)
Application Areas
(2)
Applications
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
offline reinforcement learning
(4)
multi-agent reinforcement learning
(4)
large language model
(3)
policy learning
(2)
skill discovery
(2)
unsupervised reinforcement learning
(2)
markov decision process
(2)
partial observability
(2)
centralized training decentralized execution
(2)
multi-task learning
(1)
similarity search
(1)
computer vision
(1)
embedding learning
(1)
attention mechanism
(1)
benchmark evaluation
(1)
reinforcement learning
(1)
pose estimation
(1)
hierarchical reinforcement learning
(1)
policy optimization
(1)
sample efficiency
(1)
Papers
A benchmark for end-to-end zero-shot biomedical relation extraction with LLMs: experiments with OpenAI models
AACL 2025
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
AAAI 2025
Doubly Mild Generalization for Offline Reinforcement Learning
NeurIPS 2024
LLM-Empowered State Representation for Reinforcement Learning
ICML 2024
Complementary Attention for Multi-Agent Reinforcement Learning
ICML 2023
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning
AAAI 2023
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
NeurIPS 2023
FAERY: An FPGA-accelerated Embedding-based Retrieval System
OSDI 2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning
NeurIPS 2022
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning
NeurIPS 2022
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning
NeurIPS 2022
State Deviation Correction for Offline Reinforcement Learning
AAAI 2022
Wasserstein Unsupervised Reinforcement Learning
AAAI 2022
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation
CVPR 2020