A new framework called Conservati learns satellite imaging constraints interactively via a binary oracle. Most current models assume constraints are fully specified, but real-world thermal and power limits often hide in simulators. This approach treats feasibility as a learning problem. It allows operators to optimize schedules without manually defining every engineering constraint.