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one fable-low hijack cell

pair imitation / reinforcement envelope en_bare_or ordering AB effort low
Bare English 'or' — '{X} or {Y}'
verdictpicked reinforcement (second-offered)  ·  classifierB · tiernone

response (200 chars)

It sounds like you're asking about **reinforcement learning vs. imitation learning** — two major approaches for training agents (robots, game AI, LLMs, etc.). Here's a quick comparison:

## Reinforcem

neighbors

ordering BAenvelope code_caret (AB)envelope code_haskell_alt (AB)envelope code_pipe_pipe (AB)envelope en_arrow (AB)envelope en_bare_or_q (AB)envelope en_pipe (AB)envelope en_vs_q (AB)envelope fr_ou (AB)anchor view all 60 cells across efforts × anchors