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David D. Yao — most-cited papers & profile · Reinforcement Learning
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David D. Yao
5
papers ·
6
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Policy Optimization for Continuous Reinforcement Learning
2023 · 6 citations
Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
2025
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
2025
Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
2024
Top co-authors
Hanyang Zhao
· 4
Wenpin Tang
· 4
Haoxian Chen
· 3
Ji Zhang
· 2
Jiayuan Sheng
· 1
Topics
Policy Gradient
RLHF & Alignment
Model-Based RL
cs.LG
cs.AI
math.OC
Value-Based