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Di Wu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Di Wu
92
papers ·
113
citations ·
45
h-index
University of Utah
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising
2018 · 84 citations
Greedy Sampling Is Provably Efficient for RLHF
2025 · 7 citations
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
TextAtari: 100K Frames Game Playing with Language Agents
2025
Reinforced Reasoning for Embodied Planning
2025
Cost-Aware Optimal Pairwise Pure Exploration
2025
Exploring the Necessity of Reasoning in LLM-based Agent Scenarios
2025
Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection
2022
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks
2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
2023
Lightweight Learner for Shared Knowledge Lifelong Learning
2023
Top co-authors
Chengshuai Shi
· 2
Cong Shen
· 2
Wei Yin
· 2
Wenhao Li
· 2
Aaron Blakeman
· 1
Abdullahi Olaoye
· 1
Abhibha Gupta
· 1
Abhilash Somasamudramath
· 1
Abhinav Khattar
· 1
Adam M. Jones
· 1
Adeola Adesoba
· 1
Adil Asif
· 1
Topics
cs.LG
cs.AI
cs.IT
math.IT
stat.ML
Model-Based RL
Policy Gradient
cs.CL
RLHF & Alignment
Safe RL