Maria Chzhen

Improving Feasibility via Fast Autoencoder-Based Projections

Enforcing complex (e.g., nonconvex) operational constraints is a critical challenge in real-world learning and control systems. However, existing methods struggle to efficiently and reliably enforce general classes of constraints. To address this, we propose a novel data-driven amortized approach th…