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Bootstrapping Upper Confidence Bound

12 June 2019

Papers citing "Bootstrapping Upper Confidence Bound"

38 / 38 papers shown

Title
Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning Chengpeng Hu Ziming Wang Bo Yuan Jialin Liu Chengqi Zhang Xin Yao 20 0 0 20 Jun 2025
Not All Documents Are What You Need for Extracting Instruction Tuning Data Chi Zhang Huaping Zhong Hongtao Li Chengliang Chai Jiawei Hong ... Jiantao Qiu Ye Yuan Guoren Wang Zeang Sheng Lei Cao SyDa 66 0 0 18 May 2025
Reward-Safety Balance in Offline Safe RL via Diffusion Regularization Junyu Guo Zhi Zheng Donghao Ying Ming Jin Shangding Gu C. Spanos Javad Lavaei OffRL 198 0 0 18 Feb 2025
UCB algorithms for multi-armed bandits: Precise regret and adaptive inference Q. Han K. Khamaru Cun-Hui Zhang 118 5 0 09 Dec 2024
Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach Xiongxiao Xu Solomon Abera Bekele Brice Videau Kai Shu 53 1 0 03 Oct 2024
Robotic Optimization of Powdered Beverages Leveraging Computer Vision and Bayesian Optimization E. Szymańska Josie Hughes 73 0 0 17 Sep 2024
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning S. Samsonov Eric Moulines Qi-Man Shao Zhuo-Song Zhang Alexey Naumov 99 5 0 26 May 2024
Zero-Inflated Bandits Haoyu Wei Runzhe Wan Lei Shi Rui Song 108 0 0 25 Dec 2023
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles Ruoqi Wen Jiahao Huang Rongpeng Li Guoru Ding Zhifeng Zhao 81 1 0 21 Dec 2023
A Theoretical Analysis of Noise Geometry in Stochastic Gradient Descent Mingze Wang Lei Wu 82 3 0 01 Oct 2023
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics Han Bao SSL MLT 97 1 0 28 Sep 2023
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling Susobhan Ghosh Raphael Kim Prasidh Chhabria Raaz Dwivedi Predrag Klasjna Peng Liao Kelly Zhang Susan Murphy OffRL 72 9 0 11 Apr 2023
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm Huiming Zhang Haoyu Wei Guang Cheng 77 1 0 13 Mar 2023
Multiplier Bootstrap-based Exploration Runzhe Wan Haoyu Wei Branislav Kveton R. Song 52 3 0 03 Feb 2023
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent Xinyu Chen Zehua Lai He Li Yichen Zhang 80 4 0 30 Dec 2022
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? Yi Tian Kai Zhang Russ Tedrake S. Sra 85 5 0 30 Dec 2022
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control Xiaoyu Wang Scott Sanner Baher Abdulhai 61 5 0 26 Nov 2022
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models Yuchen Wu Kangjie Zhou 173 6 0 07 Nov 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 86 6 0 11 Oct 2022
Robust Tests in Online Decision-Making Gi-Soo Kim Hyun-Joon Yang J. P. Kim OffRL 48 0 0 21 Aug 2022
Residual Bootstrap Exploration for Stochastic Linear Bandit Shuang Wu ChiHua Wang Yuantong Li Guang Cheng 81 8 0 23 Feb 2022
Double Thompson Sampling in Finite stochastic Games Shuqing Shi Xiaobin Wang Zhi-Xuan Yang Fan Zhang Hong Qu 17 0 0 21 Feb 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework Ziyi Huang Henry Lam A. Meisami Haofeng Zhang 109 4 0 31 Jan 2022
Bregman Deviations of Generic Exponential Families Sayak Ray Chowdhury Patrick Saux Odalric-Ambrym Maillard Aditya Gopalan 69 12 0 18 Jan 2022
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference Mao Ye Qiang Liu 47 1 0 17 Oct 2021
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning Pratik Ramprasad Yuantong Li Zhuoran Yang Zhaoran Wang W. Sun Guang Cheng OffRL 137 28 0 08 Aug 2021
Debiasing Samples from Online Learning Using Bootstrap Ningyuan Chen Xuefeng Gao Yi Xiong OffRL OnRL 52 4 0 31 Jul 2021
GuideBoot: Guided Bootstrap for Deep Contextual Bandits Feiyang Pan Haoming Li Xiang Ao Wei Wang Yanrong Kang Ao Tan Qing He 38 0 0 18 Jul 2021
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors Zhaoqiang Liu Subhro Ghosh Jonathan Scarlett 61 18 0 29 Jun 2021
Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty Rongpeng Li 74 0 0 15 Jun 2021
Multi-armed Bandit Requiring Monotone Arm Sequences Ningyuan Chen 133 11 0 07 Jun 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference Botao Hao X. Ji Yaqi Duan Hao Lu Csaba Szepesvári Mengdi Wang OffRL 87 40 0 06 Feb 2021
Sharper Sub-Weibull Concentrations Huiming Zhang Haoyu Wei 116 20 0 04 Feb 2021
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation Ilya Kostrikov Ofir Nachum OffRL 54 31 0 27 Jul 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 131 9 0 26 Jun 2020
Differentiable Linear Bandit Algorithm Kaige Yang Laura Toni 52 6 0 04 Jun 2020
Residual Bootstrap Exploration for Bandit Algorithms ChiHua Wang Yang Yu Botao Hao Guang Cheng 51 16 0 19 Feb 2020
Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential properties to heavier-tailed distributions M. Vladimirova Stéphane Girard Hien Nguyen Julyan Arbel 101 92 0 13 May 2019