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Found 5 papers, 0 papers with code
A Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN
(1) Compared to other lightweight transmission-parameter selection schemes, collisions between LoRa devices can be efficiently avoided by our proposed scheme in LoRaWAN irrespective of changes in the available channels.
Theory of Acceleration of Decision Making by Correlated Time Sequences
In this study, we demonstrate a theoretical model to account for accelerating decision-making by correlated time sequence.
Resource allocation method using tug-of-war-based synchronization
We propose a simple channel-allocation method based on tug-of-war (TOW) dynamics, combined with the time scheduling based on nonlinear oscillator synchronization to efficiently use of the space (channel) and time resources in wireless communications.
Arm order recognition in multi-armed bandit problem with laser chaos time series
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) problems utilizing the time-division multiplexing of laser chaos time series.
Scalable photonic reinforcement learning by time-division multiplexing of laser chaos
In this study, we demonstrated a scalable, pipelined principle of resolving the multi-armed bandit problem by introducing time-division multiplexing of chaotically oscillated ultrafast time-series.
