How to Run an Autoresearch Workflow with RL Agent Skills and NVIDIA NeMo
Source
Tanya Lenz
Author
Tanya Lenz
Published
Why it matters
Coding agents driving the ML experiment loop end to end is a pattern worth copying, not just reading about.
Coding AI agents are becoming practical operators for long-running machine learning (ML) workflows.
They can inspect repositories, set up runtimes, resolve...
For reinforcement learning (RL) research, this matters because meaningful metrics often appe
Transcript
Coding AI agents are becoming practical operators for long-running machine learning (ML) workflows. They can inspect repositories, set up runtimes, resolve... Coding AI agents are becoming practical operators for long-running machine learning (ML) workflows. They can inspect repositories, set up runtimes, resolve build issues, launch experiments, monitor execution, analyze metrics, and summarize results. For reinforcement learning (RL) research, this matters because meaningful metrics often appear only after the essential experiment infrastructure… Source
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