Yihao Sun
9 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Cross-Pollinator (8) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(4)
π
Grand Slam
π
Triple Crown
β‘
Prolific Year
(5)
Conferences
ICML (3)
AAAI (2)
ICLR (2)
NIPS (2)
Top co-authors
Research topics
Keywords
bellman error
(2)
adversarial learning
(1)
knowledge representation
(1)
imitation learning
(1)
function approximation
(1)
uncertainty quantification
(1)
offline reinforcement learning
(1)
sample complexity
(1)
policy learning
(1)
binary analysis
(1)
parallel computing
(1)
model-based reinforcement learning
(1)
reward function
(1)
sample efficiency
(1)
gpu computing
(1)
ensemble method
(1)
dynamics model
(1)
adversarial imitation learning
(1)
reward function optimization
(1)
reinforcement learning
(1)
Papers
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
ICLR 2025
Improving Reward Model Generalization from Adversarial Process Enhanced Preferences
ICML 2025
Column-Oriented Datalog on the GPU
AAAI 2025
Assemblage: Automatic Binary Dataset Construction for Machine Learning
NIPS 2024
Policy-conditioned Environment Models are More Generalizable
ICML 2024
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
ICLR 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
NIPS 2024
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward
AAAI 2024
Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning
ICML 2023