In internet congestion control, the goal is to modulate traffic sources' data-transmission rates to efficiently use network capacity. This project uses Reinforcement learning (RL) to train deep network policies that capture intricate patterns in data traffic and network conditions, improving performance.
active 2024-08-07 → 2025-01-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 150 days from 2024-08-07 to 2025-01-03. Pushes: 15 total, peak 12 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| vivek-kumar9696 | 15 | 15 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.