The overall goal of this project is to improve the efficiency/emissions of H2/Diesel and H2 Hybrid systems to quickly reduce CO2 and pollutants from heavy duty long haul trucks and other heavy duty vehicles. Some of the expected outcomes are to provide robust and accurate Machine Learning Control (MLC) of an H2/Diesel engine and to also develop MLC control techniques and methods applicable to H2 fueled vehicles. In collaboration with our industrial partner, we aim to answer the question of how much Machine Learning Control (MLC) can help improve the efficiency of H2/Diesel and 100% H2 fueled transportation.