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Stars gained: From May 8, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 14, 2026, each from zero05001KMay 8Nov 14, 2026kengz/SLM-Labvwxyzjn/cleanrl
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10KApr 26Nov 14, 2026kengz/SLM-Labvwxyzjn/cleanrl

Facts

Fact kengz/SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

vwxyzjn/cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Stars 1,36610,686
Net stars, last 30 days +3+128
Largest star day +2 on Jun 18, 2026+16 on May 25, 2026
Milestone reached in the record None10,000 on Jul 1, 2026
Forks 2881,195
Language PythonPython
License MITOther license
Created Oct 2, 2017Jun 7, 2019
Last push Oct 29, 2026Apr 20, 2026
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 2 of 3 checks (1 without data)1 of 3 checks (1 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 dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 13, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: pytorch, reinforcement-learning, deep-reinforcement-learning, ppo, a2c. 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

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