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

Entropy-Based Evaluation of AI Agents: A Lightweight Framework for Measuring Behavioral Patterns arXiv:2606.05872v1 Announce Type: cross 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 across repeated runs. This paper proposes Entropy-Ba