The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows
Recent systems for optimizing prompts, programs, and ML workflows typically rely on explicit outer-loop controllers such as evolutionary search, bandits, or textual-gradient methods. We ask a fundamentally different question: how much of this search policy can be internalized by a single tool-using agent? We present ReASearch, a unified framework for reasoning-driven optimization in which the agent autonomously decides what to evaluate, how to diagnose failures, which edits to make, and when to
Record details
Published: 6 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Regulation · Healthcare · Agents & autonomy
Retrieved: 10 August 2026
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ethics.ai (6 August 2026), “The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows,” evidence record 17781, https://ethics.ai/record/17781 (originally published by HuggingFace Daily Papers).
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