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1908.05814
Cited By
Linear Stochastic Bandits Under Safety Constraints
16 August 2019
Sanae Amani
M. Alizadeh
Christos Thrampoulidis
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Papers citing
"Linear Stochastic Bandits Under Safety Constraints"
24 / 24 papers shown
Title
Constrained Online Decision-Making: A Unified Framework
Haichen Hu
David Simchi-Levi
Navid Azizan
34
0
0
11 May 2025
Improved Regret Bounds for Online Fair Division with Bandit Learning
Benjamin G. Schiffer
Shirley Zhang
36
0
0
13 Jan 2025
Honor Among Bandits: No-Regret Learning for Online Fair Division
Ariel D. Procaccia
Benjamin Schiffer
Shirley Zhang
FaML
21
2
0
01 Jul 2024
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
Jiabin Lin
Shana Moothedath
45
1
0
21 Jan 2024
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation
Paul Daoudi
Mathias Formoso
Othman Gaizi
Achraf Azize
Evrard Garcelon
OffRL
23
0
0
24 Dec 2023
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems
Ting-Jui Chang
Sapana Chaudhary
D. Kalathil
Shahin Shahrampour
23
5
0
23 Feb 2023
Safe Linear Bandits over Unknown Polytopes
Aditya Gangrade
Tianrui Chen
Venkatesh Saligrama
30
6
0
27 Sep 2022
Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems
Mohammad Kachuee
Sungjin Lee
68
4
0
17 Sep 2022
Active Learning with Safety Constraints
Romain Camilleri
Andrew Wagenmaker
Jamie Morgenstern
Lalit P. Jain
Kevin G. Jamieson
23
12
0
22 Jun 2022
Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits
Subhojyoti Mukherjee
14
1
0
27 May 2022
Stochastic Conservative Contextual Linear Bandits
Jiabin Lin
Xian Yeow Lee
Talukder Jubery
Shana Moothedath
S. Sarkar
Baskar Ganapathysubramanian
8
7
0
29 Mar 2022
Linear Stochastic Bandits over a Bit-Constrained Channel
A. Mitra
Hamed Hassani
George J. Pappas
34
8
0
02 Mar 2022
Safe Exploration for Efficient Policy Evaluation and Comparison
Runzhe Wan
B. Kveton
Rui Song
OffRL
16
10
0
26 Feb 2022
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints
Liyu Chen
R. Jain
Haipeng Luo
51
25
0
31 Jan 2022
Best Arm Identification with Safety Constraints
Zhenlin Wang
Andrew Wagenmaker
Kevin G. Jamieson
16
21
0
23 Nov 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations
Akifumi Wachi
Yunyue Wei
Yanan Sui
OffRL
19
10
0
09 Nov 2021
Adaptive Data Debiasing through Bounded Exploration
Yifan Yang
Yang Liu
Parinaz Naghizadeh
FaML
30
7
0
25 Oct 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
Tao-Wen Liu
Ruida Zhou
D. Kalathil
P. R. Kumar
Chao Tian
29
78
0
04 Jun 2021
Stochastic Linear Bandits with Protected Subspace
Advait Parulekar
Soumya Basu
Aditya Gopalan
Karthikeyan Shanmugam
Sanjay Shakkottai
71
2
0
02 Nov 2020
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
Aria HasanzadeZonuzy
Archana Bura
D. Kalathil
S. Shakkottai
18
39
0
01 Aug 2020
Learning under Invariable Bayesian Safety
Gal Bahar
Omer Ben-Porat
Kevin Leyton-Brown
Moshe Tennenholtz
19
0
0
08 Jun 2020
Safe Linear Thompson Sampling with Side Information
Ahmadreza Moradipari
Sanae Amani
M. Alizadeh
Christos Thrampoulidis
15
42
0
06 Nov 2019
Resourceful Contextual Bandits
Ashwinkumar Badanidiyuru
John Langford
Aleksandrs Slivkins
40
117
0
27 Feb 2014
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
78
308
0
22 May 2012
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