Zhengling Qi
12 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21) π Keyword Champion (2)
π
Triple Crown
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(52)
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Century Club Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Reinforcement Learning
(9)
Methods
(9)
Artificial Intelligence
(6)
Machine Learning
(6)
Core AI
(5)
Optimization & Theory
(4)
Learning Types
(3)
Deep Learning
(1)
Healthcare & Medicine
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Clinical
(1)
Keywords
off-policy evaluation
(6)
offline reinforcement learning
(4)
causal inference
(3)
policy optimization
(2)
nonparametric estimation
(2)
instrumental variable
(2)
finite-sample error bound
(2)
robust optimization
(2)
partially observable markov decision process
(2)
value function
(1)
markov decision process
(1)
distributional reinforcement learning
(1)
reinforcement learning
(1)
bayesian reinforcement learning
(1)
thompson sampling
(1)
policy gradient
(1)
offline learning
(1)
assortment optimization
(1)
bellman residual minimization
(1)
bayesian learning
(1)
Papers
Distributional Off-policy Evaluation with Bellman Residual Minimization
AISTATS 2025
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
ICML 2024
A Policy Gradient Method for Confounded POMDPs
ICLR 2024
Model-based Reinforcement Learning for Confounded POMDPs
ICML 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
NeurIPS 2024
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach
AISTATS 2023
PASTA: Pessimistic Assortment Optimization
ICML 2023
Pessimistic Model Selection for Offline Deep Reinforcement Learning
UAI 2023
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
NeurIPS 2022
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
ICML 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables
NeurIPS 2022