Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #2983 · 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

SURPRISE0.00832
ENGAGEMENT0.25
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
26.71
ACCEL
-1.50
RETENTION
36.3%
PEAK 2026-10-13 · FORK-RETENTION 66.7% · 187 STARS / WINDOW

Author Audience

AUDIENCE
3,171
FOLLOWERS
1,351
OWNER ★
18,200

Engagement Signals

FORKS
1,709
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 187 / 187 (DIVERSITY 1.00)

Why This Is A Finding

MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning собрал 187 звёзд за окно, тогда как у автора всего 1,351 подписчиков — эффективная аудитория ≈ 3,171. Это даёт surprise-индекс 0.00832 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 66.7% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 69%
VELOCITY26.713.14+23.57ABOVE 93%
RETENTION36.3%16.7%+19.7 PPABOVE 71%
FORKS1,709277+1,432ABOVE 82%
SURPRISE0.010.00+0.01ABOVE 66%