Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #2029 · 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

SURPRISE0.00681
ENGAGEMENT0.20
FRESHNESS1.34
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
11% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
20.63
ACCEL
-0.07
RETENTION
11.8%
PEAK 2026-04-26 · FORK-RETENTION 0.0% · 1,857 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 1,857 / 1,857 (DIVERSITY 1.00)

Why This Is A Finding

MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning собрал 1,857 звёзд за окно, тогда как у автора всего 1,282 подписчиков — эффективная аудитория ≈ 2,991. Это даёт surprise-индекс 0.00681 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 68%
VELOCITY20.633.99+16.64ABOVE 89%
RETENTION11.8%17.1%-5.3 PPABOVE 36%
FORKS1,62590+1,536ABOVE 96%
SURPRISE0.010.01-0.01ABOVE 37%