Abstract: A system for improving performance includes a processor and a non-transitory computer readable medium. The system comprises instructions which can include assigning an agent corresponding to discrete decision points and assigning a scope based on a facility topology, and training the agent to learn a decision policy which provides a ranking for each of a possible decision that agents can take for a given scenario at any point in time. The ranking can be determined during a training phase by selecting actions that maximize one or factors of a global reward, the global reward accumulating the value of all facility operations over a duration of a scheduling period.

Abstract: A system for improving performance includes a processor and a non-transitory computer readable medium. The system comprises instructions which can include assigning an agent corresponding to discrete decision points and assigning a scope based on a facility topology, and training the agent to learn a decision policy which provides a ranking for each of a possible decision that agents can take for a given scenario at any point in time. The ranking can be determined during a training phase by selecting actions that maximize one or factors of a global reward, the global reward accumulating the value of all facility operations over a duration of a scheduling period.