"Demo: Enabling Deep Reinforcement Learning Research for Energy Saving in ..."

Matteo Bordin et al. (2025)

> Home

Details and statistics

DOI: 10.1109/CCNC54725.2025.10975928

access: closed

type: Conference or Workshop Paper

metadata version: 2025-05-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ccnc/BordinLPCM25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ccnc/BordinLPCM25
Matteo Bordin, Andrea Lacava, Michele Polese, Francesca Cuomo, Tommaso Melodia:
Demo: Enabling Deep Reinforcement Learning Research for Energy Saving in Open RAN. CCNC 2025: 1-2

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.