Search Results for author: Guillaume Bachelier

Found 6 papers, 0 papers with code

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 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

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

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

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

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