Active Learning Simulation Loop

This repository contains reusable components for running an active learning loop with lightweight surrogate models and synthetic test functions.

Repository Structure

• learning_loop/ — Core active learning and machine learning components: acquisition heuristics, ensemble training, surrogate models, and utilities.
• data_simulation/ — Synthetic data generators and grid utilities.
• testing.ipynb — Main demonstration notebook showing the active learning loop in action.
• notebooks/ — Reserved for optional future example notebooks.