ML Experiment Agents

Search, experience reuse, and evaluation in agents that conduct machine learning experiments

An ML experiment agent turns plans into executable changes, learns from the results, and chooses what to try next. This book explains that loop through candidate search, experience reuse, diagnosis, and final evaluation. Original research figures and concrete results connect the mechanisms to the evidence.

Start with Overview, then follow the experiment from its first working candidate to its final submission.