Dimension-Free Complexity Bounds for High-Order Nonconvex Finite-Sum Optimization

von Zhou, Dongruo
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 33 of 33 (2023)

Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs

von Zhou, Dongruo
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 47 of 50 (2023)

Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints

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

PROVABLY EFFICIENT REINFORCEMENT LEARNING FOR DISCOUNTED MDPS WITH FEATURE MAPPING

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

Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs

von He, Jiafan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 27 of 36 (2022)

LOGARITHMIC REGRET FOR REINFORCEMENT LEARNING WITH LINEAR FUNCTION APPROXIMATION

von HE, JIAFAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 6 of 16 (2022)

Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation

von ZHANG, Weitong
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 3 of 36 (2022)

Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation

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

Variance-Aware Off-Policy Evaluation with Linear Function Approximation

von Min, Yifei
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 10 of 36 (2022)

Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions

von He, Jiafan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 45 of 50 (2023)

Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium

von Li, Chris Junchi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 43 of 50 (2023)

Pure Exploration in Kernel and Neural Bandits

von Zhu, Yinglun
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 14 of 36 (2022)

Iterative Teacher-Aware Learning

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