Yu Luo
20 papers · 2014–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 40% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yu Luo?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Tianying Ji, Fuchun Sun, Huazhe Xu
8 papers
· 2022–2025
· ICML, ICLR, NeurIPS
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A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
ICML 2025
Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling
ICML 2025
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
ICML 2024
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
ICLR 2024
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
ICML 2024
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
ICML 2024
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
ICML 2024
When to Update Your Model: Constrained Model-based Reinforcement Learning
NeurIPS 2022
4 papers whose co-authors appear nowhere else under this name
HoWToBench: Holistic Evaluation for LLM’s Capability in Human-level Writing using Tree of Writing
ACL 2026
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
CVPR 2026
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
CVPR 2023
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing
COLING 2022