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Private Reinforcement Learning with PAC and Regret Guarantees.

G. Vietri, B. Balle, A. Krishnamurthy, and Z. Wu. ICML, volume 119 of Proceedings of Machine Learning Research, page 9754-9764. PMLR, (2020)

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Giuseppe Olivato

Giuseppe Veltri

Giuseppe Amato

Giuseppe Valenza

Giuseppe Bosco

Other publications of authors with the same name

Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods.T. Liu, G. Vietri, and Z. Wu. CoRR, (2021)Oracle Efficient Private Non-Convex Optimization.S. Neel, A. Roth, G. Vietri, and Z. Wu. ICML, volume 119 of Proceedings of Machine Learning Research, page 7243-7252. PMLR, (2020)Private Synthetic Data for Multitask Learning and Marginal Queries.G. Vietri, C. Archambeau, S. Aydöre, W. Brown, M. Kearns, A. Roth, A. Siva, S. Tang, and Z. Wu. NeurIPS, (2022)Leveraging Public Data for Practical Private Query Release.T. Liu, G. Vietri, T. Steinke, J. Ullman, and Z. Wu. ICML, volume 139 of Proceedings of Machine Learning Research, page 6968-6977. PMLR, (2021)Private Reinforcement Learning with PAC and Regret Guarantees.G. Vietri, B. Balle, A. Krishnamurthy, and Z. Wu. ICML, volume 119 of Proceedings of Machine Learning Research, page 9754-9764. PMLR, (2020)New Oracle-Efficient Algorithms for Private Synthetic Data Release.G. Vietri, G. Tian, M. Bun, T. Steinke, and Z. Wu. ICML, volume 119 of Proceedings of Machine Learning Research, page 9765-9774. PMLR, (2020)Generating Private Synthetic Data with Genetic Algorithms.T. Liu, J. Tang, G. Vietri, and S. Wu. ICML, volume 202 of Proceedings of Machine Learning Research, page 22009-22027. PMLR, (2023)Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods.T. Liu, G. Vietri, and S. Wu. NeurIPS, page 690-702. (2021)Improved Regret for Differentially Private Exploration in Linear MDP.D. Ngo, G. Vietri, and S. Wu. ICML, volume 162 of Proceedings of Machine Learning Research, page 16529-16552. PMLR, (2022)Driving Cache Replacement with ML-based LeCaR.G. Vietri, L. Rodriguez, W. Martinez, S. Lyons, J. Liu, R. Rangaswami, M. Zhao, and G. Narasimhan. HotStorage, USENIX Association, (2018)

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Disambiguation of "Vietri, Giuseppe"

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Private Reinforcement Learning with PAC and Regret Guarantees.

Please choose a person to relate this publication to

Giuseppe Olivato

Giuseppe Veltri

Giuseppe Amato

Giuseppe Valenza

Giuseppe Bosco

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Vietri, Giuseppe"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Private Reinforcement Learning with PAC and Regret Guarantees.

Please choose a person to relate this publication to

Giuseppe Olivato

Giuseppe Veltri

Giuseppe Amato

Giuseppe Valenza

Giuseppe Bosco

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Private Reinforcement Learning with PAC and Regret Guarantees.