PhD student, Technische Universität Hamburg
2 papers at NeurIPS 2025
Undocumented versions of Meta-World have clouded algorithmic performance. This work strives to disambiguate Meta-World results from the literature, while also providing insights into benchmark design.
We show that dynamics-aligned representations improve zero-shot generalization for contextual world models.