Scalable photonic reinforcement learning by time-division multiplexing of laser chaos

Makoto Naruse, Takatomo Mihana, Hirokazu Hori +4

Reinforcement learning involves decision making in dynamic and uncertain environments and constitutes a crucial element of artificial intelligence. In our previous work, we experim…