Reinforcement learning control of vehicle systems

A system, comprising:

• a sensor array structured to provide sensor information indicative of an operating parameter regarding operation of a diesel exhaust fluid doser of a vehicle, the diesel exhaust fluid doser structured to introduce an aqueous urea solution for use by a selective catalyst reduction (SCR) catalyst to reduce NOx in an exhaust gas stream;
• and
• a processing circuit coupled to the sensor array, the processing circuit comprising one or more memory devices coupled to one or more processors, the one or more memory devices configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to:
• store, in the one or more memory devices, a machine learning model for controlling operation of the diesel exhaust fluid doser of the vehicle;
• receive the sensor information regarding the operation of the diesel exhaust fluid doser of the vehicle from the sensor array;
• receive horizon information indicative of at least one upcoming road condition;
• input the sensor information and the horizon information into the machine learning model;
• determine an output of the machine learning model based on the input of the sensor information and the horizon information, the output of the machine learning model indicative of a control action for controlling the diesel exhaust fluid doser of the vehicle;
• control the operation of the diesel exhaust fluid doser of the vehicle according to the control action indicated by the output of the machine learning model;
• compare the sensor information received after controlling the operation of the diesel exhaust fluid doser of the vehicle according to the control action indicated by the output of the machine learning model to a desired value of the operating parameter regarding a reward or penalty condition;
• provide one of a reward signal or a penalty signal in response to the comparison;
• update the machine learning model based on receipt of the reward signal or the penalty signal;
• and
• control the diesel exhaust fluid doser of the vehicle using the updated machine learning model to improve operation in view of the operating parameter.