Alex Cloud

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  1. ResearchLessWrongWrote it

    Gradient Routing Localizes and Removes Unintended Behaviors in RL

    According to the post's opening summary, a MATS research team proposes GRAFT, a training method that confines the updates from detected reward hacks to a set of parameters later removed. The authors report it prevents hacks, including ones monitors miss, in experiments limited to small models and simple monitors.