Preference-Guided Optimization Control of Industrial Machines Using Acausal Coactive Acquisition

A system for controlling an industrial machine, comprising:

• a processor;
• and a memory having instructions stored thereon that, when executed by the processor, cause the system to:
• collect a utility model trained to approximate a utility function defining the utility of an outcome of the industrial machine;
• collect a preference outcome model trained to map at least a pair of the outcomes of the industrial machine to another outcome preferred over the outcomes of the pair;
• generate multiple outcomes by optimizing an acausal coactive acquisition function configured to maximize a joint gain in the utility of the generated outcomes according to the trained utility model and a preference of the generated outcomes according to the trained preference outcome model;
• determine a desired outcome based on the generated outcomes;
• determine optimal operating parameters of the industrial machine by optimizing an acquisition function based on the utility model and on a surrogate model of the industrial machine;
• and
• control the industrial machine according to the optimal operating parameters.

A non-transitory computer-readable storage medium embodied thereon a program executable by a processor for performing a method for perceiving an object in a scene, the method comprising:

• collecting a utility model trained to approximate a utility function defining the utility of an outcome of an industrial machine;
• collecting a preference outcome model trained to map at least a pair of the outcomes of the industrial machine to another outcome preferred over the outcomes of the pair;
• generating multiple outcomes by optimizing an acausal coactive acquisition function configured to maximize a joint gain in the utility of the generated outcomes according to the trained utility model and a preference of the generated outcomes according to the trained preference outcome model;
• determining a desired outcome based on the generated outcomes;
• determining operating parameters of the industrial machine corresponding to the desired outcome;
• and
• controlling the industrial machine according to the mapped operating parameters.