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@zalvin39105
JHU Undergraduate Junior | currently interested in: reasoning, memory, continue learning, and reinforcement learning | applying p.h.d this cycle | I play chess
AI
A post describes training a model to revise agent harnesses using execution feedback. It says the model can then improve harnesses for unseen tasks while its weights stay fixed at test time.