ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.12402
  4. Cited By
Bandit Multi-linear DR-Submodular Maximization and Its Applications on
  Adversarial Submodular Bandits

Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits

21 May 2023
Zongqi Wan
Jialin Zhang
Wei Chen
Xiaoming Sun
Zhijie Zhang
ArXivPDFHTML

Papers citing "Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits"

3 / 3 papers shown
Title
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
Xutong Liu
Siwei Wang
Jinhang Zuo
Han Zhong
Xuchuang Wang
Zhiyong Wang
Shuai Li
Mohammad Hajiesmaili
J. C. Lui
Wei Chen
85
1
0
03 Jun 2024
From Linear to Linearizable Optimization: A Novel Framework with
  Applications to Stationary and Non-stationary DR-submodular Optimization
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
M. Pedramfar
Vaneet Aggarwal
31
3
0
27 Apr 2024
A Unified Approach for Maximizing Continuous DR-submodular Functions
A Unified Approach for Maximizing Continuous DR-submodular Functions
M. Pedramfar
Christopher J. Quinn
Vaneet Aggarwal
14
7
0
26 May 2023
1