Author of the publication

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

A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning.

Y. Yang, T. Wu, H. Zhong, E. Garcelon, M. Pirotta, A. Lazaric, L. Wang, and S. Du. ICLR, OpenReview.net, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Juan Du

Fei Du

Juan Du

Chengran Du

Doan Du

Other publications of authors with the same name

Integrating the traffic science with representation learning for city-wide network congestion prediction.W. Zheng, H. Yang, J. Cai, P. Wang, X. Jiang, S. Du, Y. Wang, and Z. Wang. Inf. Fusion, (November 2023)A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning.Y. Yang, T. Wu, H. Zhong, E. Garcelon, M. Pirotta, A. Lazaric, L. Wang, and S. Du. ICLR, OpenReview.net, (2022)How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks.K. Xu, M. Zhang, J. Li, S. Du, K. ichi Kawarabayashi, and S. Jegelka. ICLR, OpenReview.net, (2021)Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments.R. Zhou, Z. Zhang, and S. Du. ICML, volume 202 of Proceedings of Machine Learning Research, page 42878-42914. PMLR, (2023)An Improved Gap-Dependency Analysis of the Noisy Power Method.M. Balcan, S. Du, Y. Wang, and A. Yu. COLT, volume 49 of JMLR Workshop and Conference Proceedings, page 284-309. JMLR.org, (2016)Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning.Z. Zhou, C. Zhu, R. Zhou, Q. Cui, A. Gupta, and S. Du. CoRR, (2023)On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness.H. Ye, X. Chen, L. Wang, and S. Du. ICML, volume 202 of Proceedings of Machine Learning Research, page 39770-39800. PMLR, (2023)Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games.S. Cen, Y. Chi, S. Du, and L. Xiao. ICLR, OpenReview.net, (2023)Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement.H. Jiang, Q. Cui, Z. Xiong, M. Fazel, and S. Du. ICLR, OpenReview.net, (2023)AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method.X. Wu, Y. Xie, S. Du, and R. Ward. AAAI, page 8691-8699. AAAI Press, (2022)

BibSonomy

Disambiguation of "Du, Simon Shaolei"

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

A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning.

Please choose a person to relate this publication to

Juan Du

Fei Du

Juan Du

Chengran Du

Doan Du

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Du, Simon Shaolei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning.

Please choose a person to relate this publication to

Juan Du

Fei Du

Juan Du

Chengran Du

Doan Du

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

A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning.