CRPO: A NEW APPROACH FOR SAFE REINFORCEMENT LEARNING WITH CONVERGENCE GUARANTEE

von XU, TENGYU
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 15 of 16 (2022)

Provably Faster Algorithms for Bilevel Optimization

von Yang, Junjie
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 17 of 36 (2022)

BILEVEL OPTIMIZATION: CONVERGENCE ANALYSIS AND ENHANCED DESIGN

von JI, KAIYI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

Faster Non-asymptotic Convergence for Double Q-learning

von Zhao, Lin
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

Provable Generalization of Overparameterized Meta-learning Trained with SGD

von Huang, Yu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 22 of 50 (2023)

TWO TIME-SCALE OFF-POLICY TD LEARNING: NON-ASYMPTOTIC ANALYSIS OVER MARKOVIAN SAMPLES

von Xu, Tengyu
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)

FINITE-SAMPLE ANALYSIS FOR SARSA WITH LINEAR FUNCTION APPROXIMATION

von Zou, Shaofeng
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

On the Convergence Theory for Hessian-Free Bilevel Algorithms

von Sow, Daouda
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 6 of 50 (2023)

Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms

von Xu, Tengyu
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 6 of 27 (2021)

Information theoretic security

von Liang, Yingbin
Veröffentlicht 2009

Will Bilevel Optimizers Benefit from Loops

von Ji, Kaiyi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 5 of 50 (2023)

FINITE-TIME ANALYSIS FOR DOUBLE Q-LEARNING

von Xiong, Huaqing
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27 (2021)

A Unifying Framework of Off-Policy General Value Function Evaluation

von Xu, Tengyu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 18 of 50 (2023)

A note on inexact gradient and Hessian conditions for cubic regularized Newton’s method

von Wang, Zhe
Veröffentlicht in Operations research letters (2019)

DOUBLY ROBUST OFF-POLICY ACTOR-CRITIC: CONVERGENCE AND OPTIMALITY

von XU, TENGYU
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 15 of 16 (2022)

SPIDERBOOST AND MOMENTUM: FASTER VARIANCE REDUCTION ALGORITHMS

von Wang, Zhe
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 4 of 20 (2020)

Provable Benefit of Multitask Representation Learning in Reinforcement Learning

von Cheng, Yuan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 41 of 50 (2023)

CONVERGENCE OF META-LEARNING WITH TASK-SPECIFIC ADAPTATION OVER PARTIAL PARAMETERS

von Ji, Kaiyi
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 14 of 27 (2021)