Dongsheng Ding
10 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (10)
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Conference Polyglot
(6)
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Topic Evolution
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Century Club
(10)
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Keyword Collector
(54)
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Unstoppable
(6)
Conferences
NIPS (4)
AISTATS (2)
AAAI (1)
ICML (1)
JMLR (1)
L4DC (1)
Top co-authors
Keywords
policy optimization
(5)
constrained markov decision process
(4)
function approximation
(3)
primal-dual optimization
(3)
policy gradient
(3)
constrained optimization
(3)
reinforcement learning
(2)
primal-dual method
(2)
natural policy gradient
(2)
constrained mdp
(2)
regret bound
(2)
safety alignment
(1)
sample complexity
(1)
reinforcement learning from human feedback
(1)
constrained generation
(1)
policy search
(1)
preference alignment
(1)
distribution matching
(1)
optimal control
(1)
nash equilibrium
(1)
Papers
Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs
JMLR 2025
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
AAAI 2025
Constrained Diffusion Models via Dual Training
NIPS 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization
NIPS 2024
Resilient Constrained Reinforcement Learning
AISTATS 2024
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning
L4DC 2023
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
NIPS 2023
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
ICML 2022
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
AISTATS 2021
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes
NIPS 2020