"Multi-Agent Reinforcement Learning for Power Control in Wireless Networks ..."

Lorenzo Mario Amorosa et al. (2024)

> Home

Details and statistics

DOI: 10.1109/ICC51166.2024.10622170

access: closed

type: Conference or Workshop Paper

metadata version: 2024-09-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icc/AmorosaSVG24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icc/AmorosaSVG24
Lorenzo Mario Amorosa, Marco Skocaj, Roberto Verdone, Deniz Gündüz:
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs. ICC 2024: 2968-2973

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.