Reinforcement Learning for Compositional Generalization with Outcome-Level Optimization

Xiyan Fu, Wei Liu

Compositional generalization refers to correctly interpret novel combinations of known primitives, which remains a major challenge. Existing approaches often rely on supervised fin…