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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | opendilab/awesome-RLHF A curated list of reinforcement learning with human feedback resources (continually updated) | Unity-Technologies/ml-agents The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. |
|---|---|---|
| Stars | 4,437 | 19,865 |
| Net stars, last 30 days | +9 | +135 |
| Largest star day | +5 on Jun 25, 2026 | +15 on Oct 13, 2026 |
| Milestone reached in the record | None | None |
| Forks | 266 | 4,518 |
| Language | Not reported | C# |
| License | APACHE-2.0 | Other license |
| Created | Feb 13, 2023 | Sep 8, 2017 |
| Last push | May 20, 2026 | Oct 30, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 3 of 4 checks |
| Health facts: Releases | 0 of 3 checks (2 without data) | 0 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 3 of 3 checks |
| Commits, last 13 weeks | No data | 11 |
| Weeks with commits, last 52 | No data | 24 of 52 |
| In the Repository Index since | Nov 10, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: deep-learning, deep-reinforcement-learning, reinforcement-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined