Github Trends®
9769 findingsmedian surprise 0.00716window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #5037 · 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

SURPRISE0.00491
ENGAGEMENT0.27
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
15.71
ACCEL
+7.29
RETENTION
0.0%
PEAK 2026-10-13 · FORK-RETENTION 0.0% · 110 STARS / WINDOW

Author Audience

AUDIENCE
3,160
FOLLOWERS
1,347
OWNER ★
18,132

Engagement Signals

FORKS
1,704
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 110 / 110 (DIVERSITY 1.00)

Why This Is A Finding

MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning собрал 110 звёзд за окно, тогда как у автора всего 1,347 подписчиков — эффективная аудитория ≈ 3,160. Это даёт surprise-индекс 0.00491 (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 9769 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 48%
VELOCITY15.713.57+12.14ABOVE 86%
RETENTION0.0%28.6%-28.6 PPABOVE 0%
FORKS1,704126+1,578ABOVE 94%
SURPRISE0.000.01-0.00ABOVE 41%