2026
Cardinality-Invariant Neural Operator Policies for Scalable PDE Control
ICML 2026poster
Controlling partial differential equations (PDEs) with learning-based policies remains fundamentally limited by fixed-dimensional representations: policies trained for a specific sensor, actuator, or agent configuration typically fail when the configuration changes. This limitation is particularly s…