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Leveraging Untrustworthy Commands for Multi-Robot Coordination in
  Unpredictable Environments: A Bandit Submodular Maximization Approach

Leveraging Untrustworthy Commands for Multi-Robot Coordination in Unpredictable Environments: A Bandit Submodular Maximization Approach

28 September 2023
Satvik Garg
Xiaodong Lin
Somya Garg
ArXivPDFHTML

Papers citing "Leveraging Untrustworthy Commands for Multi-Robot Coordination in Unpredictable Environments: A Bandit Submodular Maximization Approach"

4 / 4 papers shown
Title
Inverse Risk-sensitive Multi-Robot Task Allocation
Inverse Risk-sensitive Multi-Robot Task Allocation
Guangyao Shi
Gaurav Sukhatme
23
0
0
14 Jun 2024
Active Inference for Autonomous Decision-Making with Contextual
  Multi-Armed Bandits
Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits
Shohei Wakayama
Nisar R. Ahmed
39
9
0
19 Sep 2022
Scalable Operator Allocation for Multi-Robot Assistance: A Restless
  Bandit Approach
Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach
Abhinav Dahiya
N. Akbarzadeh
Aditya Mahajan
Stephen L. Smith
18
21
0
11 Nov 2021
Distributed Cooperative Decision Making in Multi-agent Multi-armed
  Bandits
Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits
Peter Landgren
Vaibhav Srivastava
Naomi Ehrich Leonard
82
68
0
03 Mar 2020
1