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

Photonic technologies are promising for solving complex tasks in artificial intelligence. In this
paper, we numerically investigate decision making for solving the multi-armed bandit …

With the end of Moore's Law and the increasing demand for computing, photonic
accelerators are garnering considerable attention. This is due to the physical characteristics …

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 …

Decision making using photonic technologies has been intensively researched for solving
the multi-armed bandit problem, which is fundamental to reinforcement learning. However …

Collective decision-making plays a crucial role in information and communication systems.
However, decision conflicts among agents often impede the maximization of potential …

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 …

Collective decision making is vital for recent information and communications technologies.
In our previous research, we mathematically derived conflict-free joint decision making that …

Multiagent reinforcement learning (MARL) studies crucial principles that are applicable to a
variety of fields, including wireless networking and autonomous driving. We propose a …

Multi-armed bandit problems concern decision making when selecting a slot machine
among many slot machines with initially uncertain hit probabilities to maximize the total …