Verifiable Continual Learning (VCL)

Verifiable Continual Learning (VCL): improving an agent from its own experience, where every fix is proven to help and proven to break nothing that already worked.

1
An executable test

2
A measured delta

3
A regression check

the failure becomes a task you can replay and grade

the update is scored on that test: before and after.

prior tests still pass; new gain doesn't silently change old ones.