Proposal: reward 'time to human grokking' in RL environments, especially math
PeterHndrsn · x · 2026-10-12
PeterHndrsn argues RL environments — math especially — should include 'time to human grokking' as part of the reward signal: rewarding only correctness pushes models toward solutions humans can't follow, while factoring in human comprehension cost would yield more readable, transferable solutions. This requires better understanding how humans actually learn.
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