In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for implementing adaptive cruise control (ACC) established by Reinforcement Learning (RL) including executing, by a processor, adaptive cruise control to receive a set of vehicle inputs about a host vehicle's operating environment and current operations; identify, by the processor, a target vehicle operating in the host vehicle environment and quantifying a set of target vehicle parameters about the target vehicle derived from sensed inputs; modeling a state estimation of the host vehicle and the target vehicle by generating a set of speed and torque calculations about each vehicle; generating a set of results from at least one reward function based on one or more modeled state estimations of the host and target vehicle; processing the set of results with driver behavior data established by RL to correlate one or more control actions to the driver behavior data.