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Article
Open AccessDecision making for large-scale multi-armed bandit problems using bias control of chaotic temporal waveforms in semiconductor lasers
Decision making using photonic technologies has been intensively researched for solving the multi-armed bandit problem, which is fundamental to reinforcement learning. However, these technologies are yet to be...
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Article
Open AccessPhotonic reinforcement learning based on optoelectronic reservoir computing
Reinforcement learning has been intensively investigated and developed in artificial intelligence in the absence of training data, such as autonomous driving vehicles, robot control, internet advertising, and ...
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Article
Open AccessAdaptive model selection in photonic reservoir computing by reinforcement learning
Photonic reservoir computing is an emergent technology toward beyond-Neumann computing. Although photonic reservoir computing provides superior performance in environments whose characteristics are coincident ...
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Article
Open AccessDynamic channel selection in wireless communications via a multi-armed bandit algorithm using laser chaos time series
Dynamic channel selection is among the most important wireless communication elements in dynamically changing electromagnetic environments wherein, a user can experience improved communication quality by choos...
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Article
Open AccessGenerative adversarial network based on chaotic time series
Generative adversarial networks (GANs) are becoming increasingly important in the artificial construction of natural images and related functionalities, wherein two types of networks called generators and disc...
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Article
Open AccessOn-chip photonic decision maker using spontaneous mode switching in a ring laser
Efficient and accurate decision making is gaining increased importance with the rapid expansion of information communication technologies including artificial intelligence. Here, we propose and experimentally ...