Skip to content
#

edge-caching

Here are 13 public repositories matching this topic...

Deep RL for joint content recommendation and edge caching: a single Double DQN chooses both the next item to recommend and whether to cache it. Learning both together lifts the cache-hit rate from 0.50 to 0.80 vs recommendation-only RL, on all 10 seeds (MovieLens).

  • Updated Sep 18, 2026
  • Jupyter Notebook

Add this topic to your repo

To associate your repository with the edge-caching topic, visit your repo's landing page and select "manage topics."

Learn more