Chengzhuo Ni
7 papers · 2021–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(20)
🐣
Hot Topic Early Bird
Venues
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Research topics
Keywords
representation learning
(2)
variance reduction
(2)
asymptotic normality
(2)
sample complexity
(2)
policy gradient
(2)
state abstraction
(1)
tensor decomposition
(1)
off-policy evaluation
(1)
global convergence
(1)
function approximation
(1)
policy evaluation
(1)
reward function
(1)
markov decision process
(1)
importance sampling
(1)
value function approximation
(1)
state representation
(1)
statistical inference
(1)
reinforcement learning
(1)
sequence optimization
(1)
stochastic gradient
(1)
Papers
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition
JMLR 2023
Representation Learning for Low-rank General-sum Markov Games
ICLR 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
NeurIPS 2023
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
NeurIPS 2022
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
ICML 2022
Optimal Estimation of Policy Gradient via Double Fitted Iteration
ICML 2022
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
NeurIPS 2021