This repository presents a collaborative reinforcement learning approach leveraging High-Performance Computing (HPC) for training an artificial intelligence model using Q-Learning and OpenAI Gym. The system consists of a master node that manages a global model and multiple slave nodes running simulations on that model.
active 2024-07-25 → 2024-08-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 8 days from 2024-07-25 to 2024-08-01. Pushes: 44 total, peak 12 in a day. Pull requests: 4 total, peak 4 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 |
|---|---|---|---|---|
| MachadoOtto | 35 | 31 | 4 | 0 |
| guidodinello | 13 | 13 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
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.