Entropy-Based Evaluation of AI Agents: A Lightweight Framework for Measuring Behavioral Patterns

arXiv:2606.05872v1 Announce Type: new Abstract: AI agents are commonly evaluated using task success, reward, latency, and cost. These metrics are useful, but they often miss important aspects of agent behavior: whether an agent explores too much, repeats itself too rigidly, uses tools effectively, reduces uncertainty over time, or remains robust...

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