Reinforcement learning is a machine learning paradigm where an agent learns to make decisions by interacting with an environment. Through trial and error, the agent receives feedback in the form of rewards or penalties, adjusting its behavior to maximize cumulative rewards.
active 2023-12-30 → 2024-02-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 35 days from 2023-12-30 to 2024-02-02. Pushes: 11 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: 2 total, peak 1 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 |
|---|---|---|---|---|
| Aravind8281 | 11 | 11 | 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 — 2 stars here means stars gained during the window, not the repo's star count.