Yuhao Ding
11 papers · 2022–2024 · 5 conferences · across top CS/AI conferences
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Conference Polyglot (5)
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Conferences
AAAI (4)
NIPS (3)
AISTATS (2)
ICLR (1)
L4DC (1)
Top co-authors
Keywords
policy optimization
(5)
safe reinforcement learning
(4)
dynamic regret
(3)
primal-dual optimization
(3)
constrained markov decision process
(3)
markov decision process
(2)
primal-dual method
(2)
non-stationary environment
(2)
convergence analysis
(2)
policy gradient
(2)
convergence guarantee
(2)
utility optimization
(1)
convex optimization
(1)
sample complexity
(1)
manifold learning
(1)
reinforcement learning
(1)
correlation decay
(1)
random search
(1)
mirror descent
(1)
global convergence
(1)
Papers
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
NIPS 2024
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
AAAI 2024
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints
AAAI 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
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold
L4DC 2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
NIPS 2023
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
ICLR 2023
Tempo Adaptation in Non-stationary Reinforcement Learning
NIPS 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