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. 2004.03793
  4. Cited By
A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit
  Problem

A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem

8 April 2020
Udari Madhushani
Naomi Ehrich Leonard
ArXivPDFHTML

Papers citing "A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem"

5 / 5 papers shown
Title
Collaborative Multi-agent Stochastic Linear Bandits
Collaborative Multi-agent Stochastic Linear Bandits
Ahmadreza Moradipari
Mohammad Ghavamzadeh
M. Alizadeh
25
6
0
12 May 2022
Representation Learning for Context-Dependent Decision-Making
Representation Learning for Context-Dependent Decision-Making
Yuzhen Qin
Tommaso Menara
Samet Oymak
ShiNung Ching
Fabio Pasqualetti
45
3
0
12 May 2022
Non-Stationary Representation Learning in Sequential Linear Bandits
Non-Stationary Representation Learning in Sequential Linear Bandits
Yuzhen Qin
Tommaso Menara
Samet Oymak
ShiNung Ching
Fabio Pasqualetti
OffRL
47
17
0
13 Jan 2022
One More Step Towards Reality: Cooperative Bandits with Imperfect
  Communication
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication
Udari Madhushani
Abhimanyu Dubey
Naomi Ehrich Leonard
Alex Pentland
35
25
0
24 Nov 2021
Decentralized Cooperative Reinforcement Learning with Hierarchical
  Information Structure
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure
Hsu Kao
Chen-Yu Wei
V. Subramanian
60
12
0
01 Nov 2021
1