ملف الباحث

Dillon Z. Chen

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Relational GNNs Cannot Learn $C_2$ Features for Planning

    2025 · arXiv (Cornell University)

    Relational Graph Neural Networks (R-GNNs) are a GNN-based approach for learning value functions that can generalise to unseen problems from a given planning domain. R-GNNs were theoretically motivated by the well known connection between the …