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cs.LG2024
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network
Shun Kotoku, Takatomo Mihana, André Röhm +1
Multi-agent reinforcement learning (MARL) studies crucial principles that are applicable to a variety of fields, including wireless networking and autonomous driving. We propose a…
physics.optics2024
Diffraction casting
Ryosuke Mashiko, Makoto Naruse, Ryoichi Horisaki
Optical computing is considered a promising solution for the growing demand for parallel computing in various cutting-edge fields, requiring high integration and high speed computa…