Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting

5 February 2019

Papers citing "Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting"

10 / 10 papers shown

Title
Contextual Bandits for Unbounded Context Distributions Puning Zhao Jiafei Wu Zhe Liu Huiwen Wu Q. Zhang Zong Ke Tianhang Zheng 68 3 0 19 Aug 2024
Batched Stochastic Bandit for Nondegenerate Functions Yu Liu Yunlu Shu Tianyu Wang 44 0 0 09 May 2024
Infinite Action Contextual Bandits with Reusable Data Exhaust Mark Rucker Yinglun Zhu Paul Mineiro OffRL 21 1 0 16 Feb 2023
Jump-Start Reinforcement Learning Ikechukwu Uchendu Ted Xiao Yao Lu Banghua Zhu Mengyuan Yan ... Chuyuan Fu Cong Ma Jiantao Jiao Sergey Levine Karol Hausman OffRL OnRL 35 109 0 05 Apr 2022
Coarse-Grained Smoothness for RL in Metric Spaces Giorgio Giannone Kavosh Asadi Cameron Allen Sam Lobel George Konidaris Michael Littman 37 3 0 23 Oct 2021
Efficient Contextual Bandits with Continuous Actions Maryam Majzoubi Chicheng Zhang Rajan Chari A. Krishnamurthy John Langford Aleksandrs Slivkins OffRL 29 32 0 10 Jun 2020
Efficient Policy Learning from Surrogate-Loss Classification Reductions Andrew Bennett Nathan Kallus OffRL 20 15 0 12 Feb 2020
Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments Nathan Kallus Michele Santacatterina CML 17 20 0 26 Oct 2019
Model selection for contextual bandits Dylan J. Foster A. Krishnamurthy Haipeng Luo OffRL 16 89 0 03 Jun 2019
Polynomial Cost of Adaptation for X -Armed Bandits Hédi Hadiji 15 11 0 24 May 2019