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Autonomous Research Agents: What Telecom Ticket Retrieval Reveals About Open-Ended Problem Solving Loops

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

Most agentic AI demos assume you know what you're optimizing. The agent tunes hyperparameters, runs experiments, and reports metrics. But what happens when the problem itself is fuzzy? When the representation, architecture, and data pipeline are all open questions? A new ArXiv paper (2609.13073v1)…

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  1. 2026-09-15 00:07 · DEV Community — Machine Learning
    Autonomous Research Agents: What Telecom Ticket Retrieval Reveals About Open-Ended Problem Solving Loops

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