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On the Foundation of Distributionally Robust Reinforcement Learning.

S. Wang, N. Si, J. Blanchet, and Z. Zhou. CoRR, (2023)

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Demba Niang

Oumar Niang

Donatien Niango

Dimitrios Nianios

Amadou Niang

Other publications of authors with the same name

Optimal uncertainty size in distributionally robust inverse covariance estimation.J. Blanchet, and N. Si. Oper. Res. Lett., 47 (6): 618-621 (2019)A Finite Sample Complexity Bound for Distributionally Robust Q-learning.S. Wang, N. Si, J. Blanchet, and Z. Zhou. AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3370-3398. PMLR, (2023)Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces.S. Wang, N. Si, J. Blanchet, and Z. Zhou. CoRR, (2024)Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits.N. Si, F. Zhang, Z. Zhou, and J. Blanchet. ICML, volume 119 of Proceedings of Machine Learning Research, page 8884-8894. PMLR, (2020)Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality.N. Si, J. Blanchet, S. Ghosh, and M. Squillante. NeurIPS, (2020)Singular control of (reflected) Brownian motion: a computational method suitable for queueing applications.B. Ata, J. Harrison, and N. Si. Queueing Syst. Theory Appl., 108 (3): 215-251 (December 2024)A Preliminary Study of Regularization Framework for Constructing Task-Specific Simulators.D. Aykanat, Z. Zheng, and N. Si. WSC, page 805-816. IEEE, (2023)Testing Group Fairness via Optimal Transport Projections.N. Si, K. Murthy, J. Blanchet, and V. Nguyen. ICML, volume 139 of Proceedings of Machine Learning Research, page 9649-9659. PMLR, (2021)ScoreFusion: fusing score-based generative models via Kullback-Leibler barycenters.H. Liu, J. Ye, J. Blanchet, and N. Si. CoRR, (2024)Robust Bayesian Classification Using An Optimistic Score Ratio.V. Nguyen, N. Si, and J. Blanchet. ICML, volume 119 of Proceedings of Machine Learning Research, page 7327-7337. PMLR, (2020)

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Disambiguation of "Si, Nian"

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On the Foundation of Distributionally Robust Reinforcement Learning.

Please choose a person to relate this publication to

Demba Niang

Oumar Niang

Donatien Niango

Dimitrios Nianios

Amadou Niang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Si, Nian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On the Foundation of Distributionally Robust Reinforcement Learning.

Please choose a person to relate this publication to

Demba Niang

Oumar Niang

Donatien Niango

Dimitrios Nianios

Amadou Niang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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On the Foundation of Distributionally Robust Reinforcement Learning.