snake_qlearning is a project that use the Q-Learning algorithm to ensure that the snake plays the game most efficiently. Q-Learning is one of the reinforcement learning algorithms and aims to help a snake learn the most appropriate movements while collecting rewards (points) and avoiding obstacles (walls or its own tail) on the playing field.
active 2024-10-28 → 2024-11-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 19 days from 2024-10-28 to 2024-11-15. Pushes: 48 total, peak 10 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 |
|---|---|---|---|---|
| dildeolupbiten | 48 | 48 | 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.