The authors developed SelfSuite, a harness in which an agent's base model creates weighted judges and task-specific evaluation briefs from public information about an environment.
Self-designed evaluators enable safer retries for long-horizon agents
SelfSuite uses frozen, model-authored judges to select between attempts and label agent memories without relying on ground-truth rewards.
Independent
Saeid Asgari · Emre Kiciman · Leonardo de Oliveira Nunes · Ranveer Chandra
Research Digest··2 min read
Asgari et al.
Why this paper
Independent
In one line
An agent can design its own evaluator from public materials to gate retries and label memory, improving without ground-truth labels.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
§