Free Space Optical Communication has emerged as a promising technology
for high-speed and secure data transmission between ground stations on
Earth and orbiting satellites. However, this communication technology
suffers from signal attenuation due to atmospheric turbulence and beam
alignment precision. Low Earth Orbit satellites play a pivotal role in
optical communication due to their low altitude over the Earth surface,
which mitigates the atmospheric precipitation effects. This paper
introduces a novel data path control law for satellite optical
communication exploiting Artificial Intelligence-based predictive
weather forecasting and a node selection mechanism based on
Reinforcement Learning. Extensive simulations on three case studies
demonstrate that the proposed control technique achieves remarkable
gains in terms of link availability with respect to other
state-of-the-art solutions.