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Shutong Ding — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Shutong Ding
13
papers ·
12
citations ·
3
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
2024 · 11 citations
FlowCritic: Bridging Value Estimation with Flow Matching in Reinforcement Learning
2025 · 4 citations
Reduced Policy Optimization for Continuous Control with Hard Constraints
2023 · 1 citations
GenPO++: Generative Policy Optimization with Jacobian-free Likelihood Ratios
2026
Sample-Efficient Diffusion-based Reinforcement Learning with Critic Guidance
2026
Path-Space Mirror Descent for On-Policy Reinforcement Learning under the Generalized Schrödinger Bridge
2026
Distributional Reinforcement Learning with Diffusion Bridge Critics
2026
A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control
2026
GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning
2025
One Policy but Many Worlds: A Scalable Unified Policy for Versatile Humanoid Locomotion
2025
Top co-authors
Ye Shi
· 8
Jingya Wang
· 7
Ke Hu
· 5
Shan Zhong
· 3
Jingyi Yu
· 2
Weinan Zhang
· 2
Yanwei Fu
· 2
and Bei Peng
· 1
Bikang Pan
· 1
Chixuan Zhang
· 1
Haoyang Luo
· 1
He Diao
· 1
Topics
cs.LG
Policy Gradient
Offline RL
Model-Based RL
cs.AI
cs.RO
Exploration
Safe RL