Controlling chaotic itinerancy in laser dynamics for reinforcement learning. (arXiv:2205.05987v1 [physics.optics])

Photonic artificial intelligence has attracted considerable interest in
accelerating machine learning; however, the unique optical properties have not
been fully utilized for achieving higher-order functionalities. Chaotic
itinerancy, with its spontaneous transient dynamics among multiple
quasi-attractors, can be employed to realize brain-like functionalities. In
this paper, we propose a method for controlling the chaotic itinerancy in a
multi-mode semiconductor laser to solve a machine learning task, known as the
multi-armed bandit problem, which is fundamental to reinforcement learning. The
proposed method …

arxiv dynamics learning optics physics reinforcement reinforcement learning