Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks

3 November 2020

Papers citing "Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks"

7 / 7 papers shown

Title
Robust Reinforcement Learning from Corrupted Human Feedback Alexander Bukharin Ilgee Hong Haoming Jiang Zichong Li Qingru Zhang Zixuan Zhang Tuo Zhao 103 8 0 21 Jun 2024
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness Hao Liu Alex Havrilla Rongjie Lai Wenjing Liao 68 6 0 17 Mar 2023
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint Hao Liu Minshuo Chen Siawpeng Er Wenjing Liao Tong Zhang Tuo Zhao 77 12 0 09 Jun 2022
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces Hao Liu Haizhao Yang Minshuo Chen T. Zhao Wenjing Liao 216 39 0 01 Jan 2022
Convergence Guarantees for Deep Epsilon Greedy Policy Learning Michael Rawson R. Balan 89 8 0 02 Dec 2021
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks Hao Liu Minshuo Chen T. Zhao Wenjing Liao 46 34 0 07 Sep 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds Mauro Maggioni Jason D Miller H. Qui Ming Zhong 43 8 0 30 Jan 2021