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1 result for overjustification

RLHF fails when humans only partially observe, leading to inflated or overjustified feedback.

problem Failure of reinforcement learning from human feedback in partially observable environments.
method Formal definition of failure cases, modeling human as Boltzmann rational, analyzing information provided by feedback.
result RLHF can deceptively inflate or overjustify feedback when humans have partial observations.