Learning to Solve Mixed-Integer Nonlinear Programming with Neural Networks and Sequential Quadratic Programming Refinement

math.OC, cs.SY, eess.SY

Submitted: 2026-10-05

Updated: 2026-10-05

Comments: 8 pages, submitted to ACC 2027

Project page: https://sites.google.com

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Learning to Solve Parametric Mixed-Integer Optimal Control Problems via Differentiable Predictive Control
• Categorical Reparameterization with Gumbel-Softmax

Related papers

• Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noise
• Adam-HNAG: A Convergent Reformulation of Adam with Accelerated Rate
• Incremental Learning in Mirror Flows
• Second-Order Optimization with Asynchronous Curvature
• Online Control via Counterfactual Tracking
• Asynchronous Replanning in Two Population Linear Quadratic Mean Field Games: Information Requirements and Stability