Controlling Laser Beam Combining via an Active Reinforcement Learning Algorithm

Optimum control for beam combining is a challenging task requiring many heuristics. Deep reinforcement learning, is successful in learning complex behaviors, however, in offline settings. Here, we are exploring how the algorithm can actively control.