Github Trends®
4978 findingsmedian surprise 0.00481window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1880 · 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

SURPRISE0.00612
ENGAGEMENT0.31
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
19.67
ACCEL
-6.00
RETENTION
25.8%
PEAK 2026-10-16 · FORK-RETENTION 0.0% · 59 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 59 / 59 (DIVERSITY 1.00)

Why This Is A Finding

MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning собрал 59 звёзд за окно, тогда как у автора всего 1,351 подписчиков — эффективная аудитория ≈ 3,171. Это даёт surprise-индекс 0.00612 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 4978 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 62%
VELOCITY19.675.33+14.33ABOVE 85%
RETENTION25.8%0.0%+25.8 PPABOVE 61%
FORKS1,709346+1,363ABOVE 77%
SURPRISE0.010.00+0.00ABOVE 55%