Yihang Yao
10 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Triple Crown π€ Dynamic Duo (10)
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Trend Setter
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Machine Learning
(6)
Reinforcement Learning
(6)
Methods
(6)
Deep Learning
(3)
Application Areas
(3)
Learning Types Β· Machine Learning
(3)
Natural Language Processing
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Resources & Methods
(2)
Mathematics & Optimization
(1)
Models
(1)
Optimization
(1)
Keywords
safe reinforcement learning
(5)
offline reinforcement learning
(3)
constraint satisfaction
(3)
policy learning
(2)
variational inference
(2)
zero-shot adaptation
(2)
large language model
(2)
multi-objective optimization
(2)
policy optimization
(2)
logical reasoning
(1)
adversarial training
(1)
conditional generation
(1)
robust reinforcement learning
(1)
ai safety
(1)
robust optimization
(1)
stationary distribution
(1)
data augmentation
(1)
off-policy learning
(1)
distribution shift
(1)
self-supervised learning
(1)
Papers
Tailored Primitive Initialization is the Secret Key to Reinforcement Learning
ACL 2026
Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety
ACL 2025
Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training
ACL 2025
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
ICML 2024
Gradient shaping for multi-constraint safe reinforcement learning
L4DC 2024
Learning from Sparse Offline Datasets via Conservative Density Estimation
ICLR 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
NeurIPS 2024
Constrained Decision Transformer for Offline Safe Reinforcement Learning
ICML 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
NeurIPS 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
ICML 2023