Linear Stochastic Bandits Under Safety Constraints

16 August 2019

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