"Multi-Scenario Task Scheduling Based on Heterogeneous-Agent Reinforcement ..."

Kexin Fan et al. (2024)

> Home

Details and statistics

DOI: 10.1109/VTC2024-SPRING62846.2024.10683035

access: closed

type: Conference or Workshop Paper

metadata version: 2025-03-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/vtc/FanFYZZ24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/vtc/FanFYZZ24
Kexin Fan, Bowen Feng, Junyi Yang, Zhikai Zhang, Qinyu Zhang:
Multi-Scenario Task Scheduling Based on Heterogeneous-Agent Reinforcement Learning in Space-Air-Ground Integrated Network. VTC Spring 2024: 1-6

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.