HarnessEvolve: Learning from Reference Trajectories for Reliable Agent Self-Evolution
This paper introduces HarnessEvolve, a self-evolving framework that learns from reference trajectories to achieve reliable agent self-evolution, and overcomes credit assignment failure by generating reference trajectories and aligning failed executions against them to extract error signals.
Wen Jiang, Ming-Min Chu, Yiding Tian et al.
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