Harness Learning: Training LLMs to Adapt Agent Programs at Test Time via Meta-Learning
This paper introduces harness learning, a method that trains a proposer model to revise executable agent programs using execution feedback, framed as meta-learning over code. Experiments show the approach generalizes to …
AI · Architecture