Jiuqi Wang
Scholar

Jiuqi Wang

Google Scholar ID: C1H3CiQAAAAJ
Ph.D. Student, University of Virginia
reinforcement learningdeep learning
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Citations & Impact
All-time
Citations
40
 
H-index
2
 
i10-index
2
 
Publications
6
 
Co-authors
5
list available
Contact
Emailxgu3km@virginia.eduCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
6 items
Almost Sure Convergence of Differential Temporal Difference Learning for Average Reward Markov Decision Processes
2026
Cited
0
PokeeResearch: Effective Deep Research via Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold
2025
Cited
0
Towards Provable Emergence of In-Context Reinforcement Learning
2025
Cited
0
Experience Replay Addresses Loss of Plasticity in Continual Learning
2025
Cited
0
A Survey of In-Context Reinforcement Learning
2025
Cited
0
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
2024
Cited
6
Resume (English only)
Background
  • Third-year Ph.D. student in the Department of Computer Science at the University of Virginia (UVA)
  • Working with Dr. Shangtong Zhang in the Sequential Intelligence Lab (SIL)
  • Research interests center around understanding and developing efficient and robust algorithms for complex sequential decision-making problems
  • Currently focusing on the theory and applications of reinforcement learning
  • Recently exploring agentic systems powered by large language models and how RL can enhance them
Co-authors
5 total
Shangtong Zhang
Shangtong Zhang
University of Virginia
Ethan Blaser
Ethan Blaser
Graduate Student, University of Virginia
Hadi Daneshmand
Hadi Daneshmand
Assistant Professor of Computer Science at University of Virginia
Martin Müller
Martin Müller
Professor, Computing Science, University of Alberta
Co-author 5
Co-author 5