Yuhao Ding
11 papers · 2022–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (56)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Reinforcement Learning
(10)
Methods
(10)
Learning Types · Machine Learning
(8)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Core AI
(3)
Application Areas
(2)
Applications
(2)
Deep Learning
(1)
Learning Paradigms · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types · Deep Learning
(1)
Keywords
safe reinforcement learning
(5)
policy optimization
(5)
constrained markov decision process
(4)
dynamic regret
(3)
primal-dual optimization
(3)
convergence analysis
(2)
convergence guarantee
(2)
primal-dual method
(2)
markov decision process
(2)
non-stationary environment
(2)
policy gradient
(2)
manifold learning
(1)
sample complexity
(1)
utility optimization
(1)
black-box optimization
(1)
reinforcement learning
(1)
mirror descent
(1)
global convergence
(1)
primal-dual algorithm
(1)
off-policy learning
(1)
Papers
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
AAAI 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
NeurIPS 2024
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
ICLR 2023
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold
L4DC 2023
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design
AAAI 2023
Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes
AAAI 2023
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints
AAAI 2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
NeurIPS 2023
Tempo Adaptation in Non-stationary Reinforcement Learning
NeurIPS 2023
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization
AISTATS 2022
On the Global Optimum Convergence of Momentum-based Policy Gradient
AISTATS 2022