Github Trends®
5024 findingsmedian surprise 0.0142window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: gharchive
FINDING #1625 · UNIT ID 522133400
MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
[ MATLAB ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0163
ENGAGEMENT0.20
FRESHNESS1.01
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
49.33
ACCEL
+32.50
RETENTION
0.0%
PEAK 2026-07-15 · FORK-RETENTION 0.0% · 148 STARS / WINDOW

Author Audience

AUDIENCE
2,991
FOLLOWERS
1,282
OWNER ★
17,087

Engagement Signals

FORKS
1,625
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 148 / 148 (DIVERSITY 1.00)

Why This Is A Finding

MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning собрал 148 звёзд за окно, тогда как у автора всего 1,282 подписчиков — эффективная аудитория ≈ 2,991. Это даёт surprise-индекс 0.0163 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 5024 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 68%
VELOCITY49.336.67+42.67ABOVE 91%
RETENTION0.0%46.5%-46.5 PPABOVE 0%
FORKS1,625116+1,509ABOVE 94%
SURPRISE0.020.01+0.00ABOVE 54%