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Trajectory entropy

Hold

Techniques

A metric for measuring variability or uncertainty across an agent's action paths.

Why it's here

Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 5InfoQ·9/7/2026research
    From AI Agent Demo to Production: Automated Testing

    Zhou Yu explains why AI agents often fail to move beyond demo environments and argues that simulation-driven testing can address compliance and reliability issues. The presentation highlights how Columbia and Arklex AI use synthetic user personas, trajectory entropy, and automated CI/CD pipelines to evaluate multi-turn agents and detect edge cases before deployment.