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Found 6 papers, 1 papers with code
Attention-Enhanced Reservoir Computing
Photonic reservoir computing has been successfully utilized in time-series prediction as the need for hardware implementations has increased.
Parallel photonic accelerator for decision making using optical spatiotemporal chaos
We solve a 512-armed bandit problem online, which is much larger than previous experiments by two orders of magnitude.
Parallel bandit architecture based on laser chaos for reinforcement learning
Q-learning is a well-known approach in reinforcement learning that can deal with many states.
Controlling chaotic itinerancy in laser dynamics for reinforcement learning
In this paper, we propose a method for controlling the chaotic itinerancy in a multi-mode semiconductor laser to solve a machine learning task, known as the multi-armed bandit problem, which is fundamental to reinforcement learning.
Adaptive model selection in photonic reservoir computing by reinforcement learning
Here, we propose a scheme of adaptive model selection in photonic reservoir computing using reinforcement learning.
Generative adversarial network based on chaotic time series
Here we utilize chaotic time series generated experimentally by semiconductor lasers for the latent variables of GAN whereby the inherent nature of chaos can be reflected or transformed into the generated output data.
