Photonic Approach to Reinforcement Learning
Makoto Naruse, Atsushi Uchida, Kazuharu Uchiyama, Kouichi Akahane · 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC) · 2022
Photonic approaches to reinforcement learning are reviewed. We present single-photon-based and chaotic-laser-based decision makers to solve multi-armed bandit problems as well as entangled-photon-based social decision-making by utilizing the unique attributes of classical and quantum light.