The RHSI condition ordering is robust across a 20-cell window-size and demand-floor grid, with EO strictly worst in all cells, though ST–MAS ordering reverses at demand floors ≥0.45¶

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? EO has the strictly highest RHSI in all 20 of 20 grid cells and MO is consistently second worst; ST beats MAS at δmin≤0.40 (12 of 12 cells) but MAS edges out ST at δmin≥0.45 (8 of 8 cells). → Oluseyi Olukolaa 2026

Evidence¶

Oluseyi Olukolaa 2026¶

Oluseyi Olukolaa, Nick Rahimia. (2026). Pedagogical Safety in Educational Reinforcement Learning: Formalizing and Detecting Reward Hacking in AI Tutoring Systems. arXiv. https://arxiv.org/abs/2604.04237 doi:10.48550/arxiv.2604.04237

q2 · i? · causal · r2

Offline re-scoring of logged sessions across a grid of W∈{5,10,15,20} and δmin∈{0.30–0.50}. The authors interpret the ST–MAS reversal as C3's demand floor binding only when set above MAS's natural operating point. A ±20% demand-value perturbation preserves the EO–MO gap.

"Theprimaryorderingappearsrobust: EOhasthestrictlyhighestRHSIinall 20 of 20 cells, and MO is consistently second worst."

Discussion¶

Related Claims¶

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