Wang, Shengbo

8 publications

NeurIPS 2025 Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning Zijun Chen, Shengbo Wang, Nian Si

AISTATS 2025 Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces Shengbo Wang, Nian Si, Jose Blanchet, Zhengyuan Zhou

NeurIPS 2024 An Efficient High-Dimensional Gradient Estimator for Stochastic Differential Equations Shengbo Wang, Jose Blanchet, Peter Glynn

AAAI 2024 Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence Shengbo Wang, Ke Li

NeurIPS 2024 Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits Tian Huang, Shengbo Wang, Ke Li

ICLR 2024 Optimal Sample Complexity for Average Reward Markov Decision Processes Shengbo Wang, Jose Blanchet, Peter Glynn

JMLR 2024 Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning Shengbo Wang, Nian Si, Jose Blanchet, Zhengyuan Zhou

AISTATS 2023 A Finite Sample Complexity Bound for Distributionally Robust Q-Learning Shengbo Wang, Nian Si, Jose Blanchet, Zhengyuan Zhou