pj c76ba4b497 feat(spec): refuse a multi-item authored sampler while enumerating ...

from().generate() draws from the picker's rng, which exists only inside
walkActions. The model policy enumerates authored leaves outside that walk, so
the sampler silently yielded its first item on every step: measured over 30
draws the seeded arm reached three targets in roughly equal proportion and the
model was offered only the first. The two policies had different action spaces
and nothing said so.

A single-item sampler short-circuits before the rng, so both policies get the
same value and it is not refused.

Claude-Session: https://claude.ai/code/session_01A5KmftdEJ49A9z5mF5ESrX

2026-08-13 00:44:00 +05:30

..

spec

feat(spec): refuse a multi-item authored sampler while enumerating

2026-08-13 00:44:00 +05:30