autoresearch-worker

Automating hill-climbing experimentation requires a worker that autonomously generates, executes, and commits experiments with structured trailers to a candidate branch. This worker handles the end-to-end process until budget exhaustion or a stop signal is received.

Autonomous hill-climbing autoresearch is a process where a worker explores parameter spaces and commits results with structured trailers. You need it for controlled experimentation where traceability and orchestrator integration managing paths and budgets are required.

To escalate on plateaus or anomalies during parameter space exploration, the worker interprets escalation signals from a central orchestrator. It coordinates path management and stops when budget exhaustion or a specific stop signal occurs.

Yes, you can use the worker for integrator-path reporting through its dual-mode operation. It features a default executor mode for running experiments and a writer synthesis mode specifically for generating integrator-path reports.

Yes, autonomous experimentation with this worker requires integration with a central orchestrator. The orchestrator manages paths, budgets, and escalation signals, while the worker coordinates with it to execute experiments and log results.

Using a single autoresearch path limits exploration to one branch of parameter space at a time. The worker escalates on plateaus or anomalies and operates until budget exhaustion, requiring orchestrator coordination to manage multiple paths for broader optimization.