75 citations · 176 across the 19 of their papers we have counts for
7 papers · 1 filter
Solving multi-armed bandit problems using a chaotic microresonator comb
Jonathan Cuevas, Ryugo Iwami, Atsushi Uchida +2
The Multi-Armed Bandit (MAB) problem, foundational to reinforcement learning-based decision-making, addresses the challenge of maximizing rewards amidst multiple uncertain choices.…
Chaotic mode-competition dynamics in a multimode semiconductor laser with optical feedback and injection
Ryugo Iwami, Kazutaka Kanno, Atsushi Uchida
Photonic computing is attracting increasing interest to accelerate information processing in machine learning applications. The mode-competition dynamics of multimode semiconductor…
Analysis of temporal structure of laser chaos by Allan variance
Naoki Asuke, Nicolas Chauvet, André Röhm +6
Allan variance has been widely utilized in evaluating the stability of the time series generated by atomic clocks and lasers, in time regimes ranging from short to extremely long.…
Controlling chaotic itinerancy in laser dynamics for reinforcement learning
Ryugo Iwami, Takatomo Mihana, Kazutaka Kanno +3
Photonic artificial intelligence has attracted considerable interest in accelerating machine learning; however, the unique optical properties have not been fully utilized for achie…
Using multidimensional speckle dynamics for high-speed, large-scale, parallel photonic computing
Satoshi Sunada, Kazutaka Kanno, Atsushi Uchida
The recent rapid increase in demand for data processing has resulted in the need for novel machine learning concepts and hardware. Physical reservoir computing and an extreme learn…
Ultrafast photonic reinforcement learning based on laser chaos
Makoto Naruse, Yuta Terashima, Atsushi Uchida +1
Reinforcement learning involves decision making in dynamic and uncertain environments, and constitutes one important element of artificial intelligence (AI). In this paper, we expe…