Generalization Analogies: A Testbed for Generalizing AI Oversight to Hard-To-Measure Domains. - Joshua Clymer; Garrett Baker; Rohan Subramani; Sam Wang (CoRR, 2023)

On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning. - Rohan Subramani; Marcus Williams; Max Heitmann; Halfdan Holm; Charlie Griffin; Joar Max Viktor Skalse (ICLR, 2024)

Will an AI with Private Information Allow Itself to Be Switched Off? - Andrew Garber; Rohan Subramani; Linus Luu; Mark Bedaywi; Stuart Russell 001; Scott Emmons (CoRR, 2024)

The Partially Observable Off-Switch Game. - Andrew Garber; Rohan Subramani; Linus Luu; Mark Bedaywi; Stuart Russell 001; Scott Emmons (AAAI, 2025)

Higher-Order Belief in Incomplete Information MAIDs. - Jack Foxabbott; Rohan Subramani; Francis Rhys Ward (AAMAS, 2025)