activity
20182022
collaborators

5 papers

cs.DS2022

Efficient Pairing in Unknown Environments: Minimal Observations and TSP-based Optimization

Naoki Fujita, Nicolas Chauvet, Andre Roehm +4

Generating paired sequences with maximal compatibility from a given set is one of the most important challenges in various applications, including information and communication tec…

cs.DC2021

Resource allocation method using tug-of-war-based synchronization

Song-Ju Kim, Hiroyuki Yasuda, Ryoma Kitagawa +1

We propose a simple channel-allocation method based on tug-of-war (TOW) dynamics, combined with the time scheduling based on nonlinear oscillator synchronization to efficiently use…

eess.SP2020

Arm order recognition in multi-armed bandit problem with laser chaos time series

Naoki Narisawa, Nicolas Chauvet, Mikio Hasegawa +1

By exploiting ultrafast and irregular time series generated by lasers with delayed feedback, we have previously demonstrated a scalable algorithm to solve multi-armed bandit (MAB)…

eess.SP2019

Dynamic channel selection in wireless communications via a multi-armed bandit algorithm using laser chaos time series

Shungo Takeuchi, Mikio Hasegawa, Kazutaka Kanno +3

Dynamic channel selection is among the most important wireless communication elements in dynamically changing electromagnetic environments wherein a user can experience improved co…

cs.ET2018

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…