将强化学习方法应用到离合器的接合控制，旨在获得快速平稳的接合，伴随着较小的转矩损失。(A common approach when applying reinforcement
learning to address control problems is that of first learning
a policy based on an approximated model of the plant, whose
behavior can be quickly and safely explored in simulation; and
then implementing the obtained policy to control the actual plant.
Here we follow this approach to learn to engage a transmission
clutch, with the aim of obtaining a rapid and smooth engagement,
with a small torque loss. Using an approximated model of a wet
clutch, which simulates a portion of the whole engagement, we
first learn an open loop control signal, which is then transferred
on the actual wet clutch, and improved by further learning with
a different reward function, based on the actual torque loss
observed.)