1. A system, comprising: a processor, coupled to a memory, comprising computer-executable components, comprising: a drift component that modifies a manufacturing recipe processed by a manufacturing tool that produces an asset based at least in part on a set of driving variables and a defined probability distribution function to generate a modified manufacturing recipe for the asset, wherein the set of driving variables determine a sequence in which to modify a set of recipe parameters associated with the manufacturing recipe, and wherein a magnitude of change between the manufacturing recipe and the modified manufacturing recipe is determined based at least in part on the defined probability distribution function.
1. A system, comprising: a processor, coupled to a memory, comprising computer-executable components, comprising: a drift component that modifies a manufacturing recipe processed by a manufacturing tool that produces an asset based at least in part on a set of driving variables and a defined probability distribution function to generate a modified manufacturing recipe for the asset, wherein the set of driving variables determine a sequence in which to modify a set of recipe parameters associated with the manufacturing recipe, and wherein a magnitude of change between the manufacturing recipe and the modified manufacturing recipe is determined based at least in part on the defined probability distribution function. 2. The system of claim 1 , further comprising an objective autonomous learning engine that infers one or more functions for the manufacturing tool based on the modified manufacturing recipe processed by the manufacturing tool, wherein the one or more functions predict asset output metrics for the produced asset.