Transferability of findings beyond Camera Dropbox

Determine the extent to which results obtained in the Camera Dropbox grid-world generalize to environments with richer state spaces, partial observability, continuous action spaces, or multi-agent dynamics.

Background

The paper’s experiments and reproductions focus on the Camera Dropbox model organism, a small grid-world with a transparent sensor-tampering mechanism. While useful for controlled study, it does not capture complexities present in larger-scale or more realistic domains.

The authors explicitly note that generalization to more complex settings is unknown, motivating further investigation of MONA and learned-approval behavior under increased environmental complexity and different observability/interaction structures.