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Parallel bandit architecture based on laser chaos for reinforcement learning. (arXiv:2205.09543v1 [cs.ET])
cs.LG updates on arXiv.org arxiv.org
Accelerating artificial intelligence by photonics is an active field of study
aiming to exploit the unique properties of photons. Reinforcement learning is
an important branch of machine learning, and photonic decision-making
principles have been demonstrated with respect to the multi-armed bandit
problems. However, reinforcement learning could involve a massive number of
states, unlike previously demonstrated bandit problems where the number of
states is only one. Q-learning is a well-known approach in reinforcement
learning that can deal with many states. The …
architecture arxiv chaos learning reinforcement reinforcement learning