UCLA · COM SCI · COURSE SHEET
COM SCI 260R4 creditsSee offeringsNo prerequisites
Reinforcement Learning
Course command center
Scan the graph impact, grade reality, and student activity before you add it to a path.
GraphGradesPeople
CT Score
1500
#0 of 0 in COM SCI
Difficulty
—/10
Workload
—h/wk
Median grade
A−
from grade distribution
Would take again
—
n = 0 verified
ESTIMATEStarted from public course data. The first verified student reviews replace these numbers.
Grade distribution
Student-reported · course feedback surveys12.7%
21.6%
18.1%
19.6%
14.7%
3.4%
4.9%
3.9%
1%
A+
A
A-
B+
B
B-
C+
C
C-
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
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Study groups
0 active🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.