Self-Designed Evaluators and Warm Memory for Long-Horizon Agents
A tool-using language-model agent deployed over a long stream of tasks receives no reward, so it cannot tell whether it succeeded, cannot safely retry, and cannot label the experience it needs to improve. We present SelfSuite, in which the agent's own base model, given only the world's public materials, designs a small...
Saeid Asgari, Emre Kıcıman, Leonardo de Oliveira Nunes et al.
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