MDX · MIT
lubludrova/rl-handbook
A comprehensive guide to Reinforcement Learning
★ 232
Stars
14 forks · 1 open issues
+3.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
24.3
Momentum / 100
see the breakdown below
7mo ago
Created
last push 11d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 3.0 | +3.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.2 | last week ran 1.01× the monthly pace |
| Freshness | 15 | 14.3 | last push 11d ago; decays to zero at 180 days |
| Scale | 15 | 6.9 | 232 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 24.3 | sum of the above |
Detail
| Topics | actor-criticartificial-intelligencebookcoursedeep-reinforcement-learninghandbookmachine-learningoffline-rlpolicy-gradientppoq-learningreinforcement-learningreinforcement-learning-algorithmsrlhfsactutorial |
| Matched on | Learning & Roadmaps (tutorial) |
| Short window | +3 stars over 7 days = 0.4/day |
| Long window | +11 stars over 26 days = 0.4/day |
| Lifetime average | 1.03 stars/day over 226 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |