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cs.AI2023★ 1 cited
Generalization Analogies: A Testbed for Generalizing AI Oversight to Hard-To-Measure Domains
Joshua Clymer, Garrett Baker, Rohan Subramani +1
As AI systems become more intelligent and their behavior becomes more challenging to assess, they may learn to game the flaws of human feedback instead of genuinely striving to fol…
cs.LG2023
On The Expressivity of Objective-Specification Formalisms in Reinforcement Learning
Rohan Subramani, Marcus Williams, Max Heitmann +3
Most algorithms in reinforcement learning (RL) require that the objective is formalised with a Markovian reward function. However, it is well-known that certain tasks cannot be exp…