Machine Learning for Real-Time Constrained Optimization: The Case of Optimal Power Flows
Optimization problems subject to hard constraints are common in time-critical applications such as autonomous driving and wireless communication. However, existing iterative solvers often face difficulties in solving these problems in […]
