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A Survey of Risk-Aware Multi-Armed Bandits

A Survey of Risk-Aware Multi-Armed Bandits

International Joint Conference on Artificial Intelligence (IJCAI), 2022
12 May 2022
Vincent Y. F. Tan
Prashanth L.A.
Krishna Jagannathan
ArXiv (abs)PDFHTML

Papers citing "A Survey of Risk-Aware Multi-Armed Bandits"

6 / 6 papers shown
Title
Learning When Not to Learn: Risk-Sensitive Abstention in Bandits with Unbounded Rewards
Learning When Not to Learn: Risk-Sensitive Abstention in Bandits with Unbounded Rewards
Sarah Liaw
Benjamin Plaut
86
0
0
16 Oct 2025
Order Optimal Regret Bounds for Sharpe Ratio Optimization in the Bandit Setting
Order Optimal Regret Bounds for Sharpe Ratio Optimization in the Bandit Setting
Mohammad Taha Shah
Sabrina Khurshid
Gourab Ghatak
36
0
0
19 Aug 2025
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed
  Bandits
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits
Réda Alami
Mohammed Mahfoud
Mastane Achab
134
1
0
24 Oct 2023
Max-Quantile Grouped Infinite-Arm Bandits
Max-Quantile Grouped Infinite-Arm BanditsInternational Conference on Algorithmic Learning Theory (ALT), 2022
Ivan Lau
Yan Hao Ling
Mayank Shrivastava
Jonathan Scarlett
194
1
0
04 Oct 2022
Risk-Aware Linear Bandits: Theory and Applications in Smart Order
  Routing
Risk-Aware Linear Bandits: Theory and Applications in Smart Order RoutingSocial Science Research Network (SSRN), 2022
Jingwei Ji
Renyuan Xu
Ruihao Zhu
200
0
0
04 Aug 2022
Almost Optimal Variance-Constrained Best Arm Identification
Almost Optimal Variance-Constrained Best Arm IdentificationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Yunlong Hou
Vincent Y. F. Tan
Zixin Zhong
186
14
0
25 Jan 2022
1