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 metallic nanoparticle composition includes copper nanoparticles, a first non-aqueous polar protic solvent (boiling point in a range of 180° C. to 250° C. and viscosity in a range of 10 cP to 100 cP at 25° C.), and a second non-aqueous polar protic solvent (boiling point in a range of 280° C. to 300° C. and a viscosity of at least 100 cP at 25° C.). The concentration of copper nanoparticles in the composition is in a range of 32 wt % to 55 wt %, and the concentration of the second non-aqueous polar protic solvent in the composition is in a range of 4 wt % to 10 wt %. There is polyvinylpyrrolidone present on the copper nanoparticles surfaces. The composition's viscosity is at least 250 cP at 25° C.

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.