56 citations · 81 across the 16 of their papers we have counts for
5 papers · 1 filter
Attention-Enhanced Reservoir Computing
Felix Köster, Kazutaka Kanno, Jun Ohkubo +1
Photonic reservoir computing has been successfully utilized in time-series prediction as the need for hardware implementations has increased. Prediction of chaotic time series rema…
Parallel photonic accelerator for decision making using optical spatiotemporal chaos
Kensei Morijiri, Kento Takehana, Takatomo Mihana +3
Photonic accelerators have attracted increasing attention in artificial intelligence applications. The multi-armed bandit problem is a fundamental problem of decision making using…
Parallel bandit architecture based on laser chaos for reinforcement learning
Takashi Urushibara, Nicolas Chauvet, Satoshi Kochi +5
Accelerating artificial intelligence by photonics is an active field of study aiming to exploit the unique properties of photons. Reinforcement learning is an important branch of m…
Photonic reinforcement learning based on optoelectronic reservoir computing
Kazutaka Kanno, Atsushi Uchida
Reinforcement learning has been intensively investigated and developed in artificial intelligence in the absence of training data, such as autonomous driving vehicles, robot contro…
Adaptive model selection in photonic reservoir computing by reinforcement learning
Kazutaka Kanno, Makoto Naruse, Atsushi Uchida
Photonic reservoir computing is an emergent technology toward beyond-Neumann computing. Although photonic reservoir computing provides superior performance in environments whose ch…