Task2Vec Task Embeddings + Curriculum/Clustering

What problem does it solve?

Task space is large and complex; practitioners need a deterministic, end-to-end workflow to convert episodic tasks into compact embeddings that support curriculum design and diverse meta-batches.

Core Features & Use Cases

• Deterministic Task2Vec embeddings using diagonal Fisher on a fixed probe.
• Clustering, stability diagnostics, and cohort analysis to reveal task-space structure.
• Curriculum ordering and diversity-aware meta-batch construction using pre-computed embeddings and an optional registry for persistence.

Quick Start

Instantiate with production config and run extraction on a small synthetic episode to produce the first embedding.