Reinforcement learning for adaptive interior point methods in convex quadratic programming
arXiv:2509.07404v2 Announce Type: replace-cross
Abstract: Quadratic programming is a workhorse of modern nonlinear optimization, control, and data science. Although regularized methods offer convergence guarantees under minimal assumptions on the prob…