Methods and systems for adjusting operating parameters of a machine in anticipation of a transition from a current operational state to a predicted subsequent operational state. An electronic controller receives a data stream indicative of actuator settings, sensor outputs, and/or operator control settings and applies a pattern detection AI that is configured to determine a current operational state of the machine based on patterns detected in the data stream. The controller then applies a reinforcement learning AI that is configured to produce as an output one or more target operating parameters based at least in part on a predicted subsequent operational state of the machine. The one or more target operating parameters are applied to the machine and at least one performance metric of the machine is monitored. The reinforcement learning Ai is retrained based at least in part on the monitored performance metric(s).