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Hedging the Drift: Learning to Optimize under Non-Stationarity

Hedging the Drift: Learning to Optimize under Non-Stationarity

4 March 2019
Wang Chi Cheung
D. Simchi-Levi
Ruihao Zhu
ArXivPDFHTML

Papers citing "Hedging the Drift: Learning to Optimize under Non-Stationarity"

16 / 16 papers shown
Title
Beyond IID: data-driven decision-making in heterogeneous environments
Beyond IID: data-driven decision-making in heterogeneous environments
Omar Besbes
Will Ma
Omar Mouchtaki
42
7
0
03 Jan 2025
Practical Performative Policy Learning with Strategic Agents
Practical Performative Policy Learning with Strategic Agents
Qianyi Chen
Ying Chen
Bo Li
101
0
0
02 Dec 2024
Lower Bounds for Time-Varying Kernelized Bandits
Lower Bounds for Time-Varying Kernelized Bandits
Xu Cai
Jonathan Scarlett
36
0
0
22 Oct 2024
Variance-Dependent Regret Bounds for Non-stationary Linear Bandits
Variance-Dependent Regret Bounds for Non-stationary Linear Bandits
Zhiyong Wang
Jize Xie
Yi Chen
J. C. Lui
Dongruo Zhou
28
0
0
15 Mar 2024
A Stability Principle for Learning under Non-Stationarity
A Stability Principle for Learning under Non-Stationarity
Chengpiao Huang
Kaizheng Wang
39
2
0
27 Oct 2023
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary
  Contextual Bandits
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits
Nicklas Werge
Abdullah Akgul
M. Kandemir
38
0
0
07 Jul 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
Jing Wang
Peng Zhao
Zhihong Zhou
30
5
0
05 Mar 2023
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed
  Bandit with Constraints
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
Heng Guo
Qi Zhu
Xin Liu
29
11
0
27 Nov 2022
Offline Deep Reinforcement Learning for Dynamic Pricing of Consumer
  Credit
Offline Deep Reinforcement Learning for Dynamic Pricing of Consumer Credit
Raad Khraishi
Ramin Okhrati
OffRL
23
5
0
06 Mar 2022
Recent Advances in Reinforcement Learning in Finance
Recent Advances in Reinforcement Learning in Finance
B. Hambly
Renyuan Xu
Huining Yang
OffRL
27
167
0
08 Dec 2021
Sublinear Regret for Learning POMDPs
Sublinear Regret for Learning POMDPs
Yi Xiong
Ningyuan Chen
Xuefeng Gao
Xiang Zhou
23
25
0
08 Jul 2021
Bayesian decision-making under misspecified priors with applications to
  meta-learning
Bayesian decision-making under misspecified priors with applications to meta-learning
Max Simchowitz
Christopher Tosh
A. Krishnamurthy
Daniel J. Hsu
Thodoris Lykouris
Miroslav Dudík
Robert Schapire
22
49
0
03 Jul 2021
A Simple Approach for Non-stationary Linear Bandits
A Simple Approach for Non-stationary Linear Bandits
Peng Zhao
Lijun Zhang
Yuan Jiang
Zhi-Hua Zhou
31
81
0
09 Mar 2021
An empirical evaluation of active inference in multi-armed bandits
An empirical evaluation of active inference in multi-armed bandits
D. Marković
Hrvoje Stojić
Sarah Schwöbel
S. Kiebel
40
34
0
21 Jan 2021
Reinforcement Learning for Non-Stationary Markov Decision Processes: The
  Blessing of (More) Optimism
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
Wang Chi Cheung
D. Simchi-Levi
Ruihao Zhu
OffRL
6
93
0
24 Jun 2020
Algorithms for Non-Stationary Generalized Linear Bandits
Algorithms for Non-Stationary Generalized Linear Bandits
Yoan Russac
Olivier Cappé
Aurélien Garivier
43
23
0
23 Mar 2020
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