Search Results for author: Makoto Naruse

Found 25 papers, 0 papers with code

Asymmetric leader-laggard cluster synchronization for collective decision-making with laser network

no code implementations5 Dec 2023 Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse

Photonic accelerators have recently attracted soaring interest, harnessing the ultimate nature of light for information processing.

Decision Making

Conflict-free joint decision by lag and zero-lag synchronization in laser network

no code implementations28 Jul 2023 Hisako Ito, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse

In this study, we explore the application of a laser network, acting as a photonic accelerator, to the competitive multi-armed bandit problem.

Collision Avoidance Decision Making

Asymmetric quantum decision-making

no code implementations3 May 2023 Honoka Shiratori, Hiroaki Shinkawa, André Röhm, Nicolas Chauvet, Etsuo Segawa, Jonathan Laurent, Guillaume Bachelier, Tomoki Yamagami, Ryoichi Horisaki, Makoto Naruse

Quantum processes can realize conflict-free joint decisions among two agents using the entanglement of photons or quantum interference of orbital angular momentum (OAM).

Decision Making Ethics

Bandit Algorithm Driven by a Classical Random Walk and a Quantum Walk

no code implementations20 Apr 2023 Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse

Quantum walks (QWs) have a property that classical random walks (RWs) do not possess -- the coexistence of linear spreading and localization -- and this property is utilized to implement various kinds of applications.

Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing

no code implementations27 Jan 2023 Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse

In recent years, reservoir computing has expanded to new functions such as the autonomous generation of chaotic time series, as well as time series prediction and classification.

Time Series Time Series Prediction

Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation

no code implementations20 Dec 2022 Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse

In addition, we propose a multi-agent architecture in which agents are indirectly connected through quantum interference of light and quantum principles ensure the conflict-free property of state-action pair selections among agents.

Decision Making Multi-agent Reinforcement Learning +3

Parallel photonic accelerator for decision making using optical spatiotemporal chaos

no code implementations12 Oct 2022 Kensei Morijiri, Kento Takehana, Takatomo Mihana, Kazutaka Kanno, Makoto Naruse, Atsushi Uchida

We solve a 512-armed bandit problem online, which is much larger than previous experiments by two orders of magnitude.

Decision Making

Controlling chaotic itinerancy in laser dynamics for reinforcement learning

no code implementations12 May 2022 Ryugo Iwami, Takatomo Mihana, Kazutaka Kanno, Satoshi Sunada, Makoto Naruse, Atsushi Uchida

In this paper, we propose a method for controlling the chaotic itinerancy in a multi-mode semiconductor laser to solve a machine learning task, known as the multi-armed bandit problem, which is fundamental to reinforcement learning.

BIG-bench Machine Learning reinforcement-learning +1

Optimal preference satisfaction for conflict-free joint decisions

no code implementations2 May 2022 Hiroaki Shinkawa, Nicolas Chauvet, Guillaume Bachelier, André Röhm, Ryoichi Horisaki, Makoto Naruse

Here, we theoretically derive conflict-free joint decision-making that can satisfy the probabilistic preferences of all individual players.

Decision Making

Theory of Acceleration of Decision Making by Correlated Time Sequences

no code implementations30 Mar 2022 Norihiro Okada, Tomoki Yamagami, Nicolas Chauvet, Yusuke Ito, Mikio Hasegawa, Makoto Naruse

In this study, we demonstrate a theoretical model to account for accelerating decision-making by correlated time sequence.

Decision Making Time Series +1

Single-shot blind deconvolution with coded aperture

no code implementations17 Jan 2022 Hideyuki Muneta, Ryoichi Horisaki, Yohei Nishizaki, Makoto Naruse, Jun Tanida

In this paper, we present a method for single-shot blind deconvolution incorporating a coded aperture (CA).

Conflict-free collective stochastic decision making by orbital angular momentum of photons through quantum interference

no code implementations2 Jul 2021 Takashi Amakasu, Nicolas Chauvet, Guillaume Bachelier, Serge Huant, Ryoichi Horisaki, Makoto Naruse

In recent cross-disciplinary studies involving both optics and computing, single-photon-based decision-making has been demonstrated by utilizing the wave-particle duality of light to solve multi-armed bandit problems.

Decision Making

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

no code implementations26 May 2020 Naoki Narisawa, Nicolas Chauvet, Mikio Hasegawa, Makoto Naruse

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) problems utilizing the time-division multiplexing of laser chaos time series.

Irregular Time Series Time Series +1

Adaptive model selection in photonic reservoir computing by reinforcement learning

no code implementations27 Apr 2020 Kazutaka Kanno, Makoto Naruse, Atsushi Uchida

Here, we propose a scheme of adaptive model selection in photonic reservoir computing using reinforcement learning.

Load Forecasting Model Selection +4

Lotka-Volterra competition mechanism embedded in a decision-making method

no code implementations29 Jul 2019 Tomoaki Niiyama, Genki Furuhata, Atsushi Uchida, Makoto Naruse, Satoshi Sunada

Decision making is a fundamental capability of living organisms, and has recently been gaining increasing importance in many engineering applications.

Decision Making

Generative adversarial network based on chaotic time series

no code implementations24 May 2019 Makoto Naruse, Takashi Matsubara, Nicolas Chauvet, Kazutaka Kanno, Tianyu Yang, Atsushi Uchida

Here we utilize chaotic time series generated experimentally by semiconductor lasers for the latent variables of GAN whereby the inherent nature of chaos can be reflected or transformed into the generated output data.

Generative Adversarial Network Time Series +1

Local reservoir model for choice-based learning

no code implementations12 Apr 2018 Makoto Naruse, Eiji Yamamoto, Takashi Nakao, Takuma Akimoto, Hayato Saigo, Kazuya Okamura, Izumi Ojima, Georg Northoff, Hirokazu Hori

Our proposed model is inspired by the viewpoint that a decision is affected by its local environment, which is referred to as a local reservoir.

Decision Making

Entangled-photon decision maker

no code implementations12 Apr 2018 Nicolas Chauvet, David Jegouso, Benoît Boulanger, Hayato Saigo, Kazuya Okamura, Hirokazu Hori, Aurélien Drezet, Serge Huant, Guillaume Bachelier, Makoto Naruse

The competitive multi-armed bandit (CMAB) problem is related to social issues such as maximizing total social benefits while preserving equality among individuals by overcoming conflicts between individual decisions, which could seriously decrease social benefits.

Decision Making

Scalable photonic reinforcement learning by time-division multiplexing of laser chaos

no code implementations26 Mar 2018 Makoto Naruse, Takatomo Mihana, Hirokazu Hori, Hayato Saigo, Kazuya Okamura, Mikio Hasegawa, Atsushi Uchida

In this study, we demonstrated a scalable, pipelined principle of resolving the multi-armed bandit problem by introducing time-division multiplexing of chaotically oscillated ultrafast time-series.

Decision Making reinforcement-learning +3

Ultrafast photonic reinforcement learning based on laser chaos

no code implementations14 Apr 2017 Makoto Naruse, Yuta Terashima, Atsushi Uchida, Song-Ju Kim

Reinforcement learning involves decision making in dynamic and uncertain environments, and constitutes one important element of artificial intelligence (AI).

Decision Making reinforcement-learning +1

Single photon in hierarchical architecture for physical reinforcement learning: Photon intelligence

no code implementations1 Sep 2016 Makoto Naruse, Martin Berthel, Aurélien Drezet, Serge Huant, Hirokazu Hori, Song-Ju Kim

In a past study, we successfully used the wave-particle duality of single photons to solve the two-armed bandit problem, which constitutes the foundation of reinforcement learning and decision making.

Decision Making reinforcement-learning +1

Category Theoretic Analysis of Photon-based Decision Making

no code implementations26 Feb 2016 Makoto Naruse, Song-Ju Kim, Masashi Aono, Martin Berthel, Aurélien Drezet, Serge Huant, Hirokazu Hori

Decision making is a vital function in this age of machine learning and artificial intelligence, yet its physical realization and theoretical fundamentals are still not completely understood.

BIG-bench Machine Learning Decision Making

Harnessing Natural Fluctuations: Analogue Computer for Efficient Socially Maximal Decision Making

no code implementations14 Apr 2015 Song-Ju Kim, Makoto Naruse, Masashi Aono

Our society comprises a collection of such individuals, and the society is expected to maximise the total rewards, while the individuals compete for common rewards.

Decision Making

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