15 citations · 19 across the 8 of their papers we have counts for
12 papers
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…
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…
Conflict-free collective stochastic decision making by orbital angular momentum of photons through quantum interference
Takashi Amakasu, Nicolas Chauvet, Guillaume Bachelier +3
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…
Entangled and correlated photon mixed strategy for social decision making
Shion Maeda, Nicolas Chauvet, Hayato Saigo +4
Collective decision making is important for maximizing total benefits while preserving equality among individuals in the competitive multi-armed bandit (CMAB) problem, wherein mult…
Entangled N-photon states for fair and optimal social decision making
Nicolas Chauvet, Guillaume Bachelier, Serge Huant +3
Situations involving competition for resources among entities can be modeled by the competitive multi-armed bandit (CMAB) problem, which relates to social issues such as maximizing…
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)…