Users dismiss Vector Policy Optimization as another hype cycle optimizing unused reward functions.
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https://arxiv.org/abs/2605.22817
@TheTuringPost so every answer is optimized for a different slice of the reward instead of averaging them
@TheTuringPost multiple reward dimensions feels like the actual bottleneck in alignment rn
do u think this changes how we evaluate the pareto front or just the training signal?
@TheTuringPost Another day, another hype cycle optimizing reward functions that nobody even uses.