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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 | Kaixhin/Rainbow Rainbow: Combining Improvements in Deep Reinforcement Learning | ikostrikov/pytorch-a2c-ppo-acktr-gail PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL). |
|---|---|---|
| Stars | 1,674 | 3,909 |
| Net stars, last 30 days | +1 | +4 |
| Largest star day | +2 on Aug 15, 2026 | +2 on Jun 22, 2026 |
| Milestone reached in the record | None | None |
| Forks | 294 | 840 |
| Language | Python | Python |
| License | MIT | MIT |
| Created | Oct 9, 2017 | Aug 22, 2017 |
| Last push | Jan 13, 2022 | May 29, 2022 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 0 of 3 checks (1 without data) | 0 of 3 checks (2 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 12, 2026 | Nov 10, 2026 |
Topics that all of them have on the Repository Host: deep-learning, deep-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