Scholar
Miao Lu
Google Scholar ID: 3jS17zQAAAAJ
Stanford University
Reinforcement Learning
Optimization
Agents
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Citations & Impact
All-time
Citations
369
H-index
9
i10-index
9
Publications
12
Co-authors
29
list available
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No contact links provided.
Publications
8 items
A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training
2026
Cited
0
Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
2026
Cited
0
INFUSER: Influence-Guided Self-Evolution Improves Reasoning
2026
Cited
0
Robust Assortment Optimization from Observational Data
2026
Cited
0
Scaling Long-Horizon LLM Agent via Context-Folding
2025
Cited
0
Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
2025
Cited
0
Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression
2025
Cited
0
Learning an Optimal Assortment Policy under Observational Data
2025
Cited
0
Resume (English only)
Co-authors
29 total
Zhaoran Wang
Associate Professor at Northwestern University
Han Zhong
Peking University
Zhihan Liu
Northwestern University
Jose Blanchet
Stanford University
Shenao Zhang
Northwestern University
Zhuoran Yang
Yale University
Tong Zhang
UIUC
Wei Xiong
University of Illinois Urbana-Champaign
