UC-Search: Risk-Aware Test-Time Search for Delayed Constrained Time-Series Control
UC-Search is a model-agnostic test-time algorithm that combines time-series forecasting with constrained decision-making under uncertainty. The approach uses beam search and Monte Carlo tree search variants to optimize delayed control decisions while respecting feasibility constraints, demonstrating measurable improvements over existing methods like CEM and MPPI across inventory control and financial forecasting benchmarks.