14 citations · 35 across the 20 of their papers we have counts for
4 papers · 1 filter
Autocorrelation effects in a stochastic-process model for solving two-armed bandit problems
Tomoki Yamagami, Mikio Hasegawa, Takatomo Mihana +2
Decision makers exploiting photonic chaotic dynamics obtained by semiconductor lasers provide an ultrafast approach to solving multi-armed bandit problems by using a temporal optic…
Time-multiplexed layer reuse for physical neural networks
Kohei Tsuchiyama, Andre Roehm, Takatomo Mihana +1
Physical neural networks (PNNs) are promising candidates for next-generation computing, but existing demonstrations remain several orders of magnitude smaller than modern digital n…
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…
Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing
Kohei Tsuchiyama, André Röhm, Takatomo Mihana +2
Reservoir computing is a machine learning paradigm that uses a structure called a reservoir, which has nonlinearities and short-term memory. In recent years, reservoir computing ha…