Web: http://arxiv.org/abs/2112.03874

Sept. 22, 2022, 1:12 a.m. | Yuanlu Bai, Henry Lam, Svitlana Vyetrenko, Tucker Balch

cs.LG updates on arXiv.org arxiv.org

Multi-agent simulation is commonly used across multiple disciplines,
specifically in artificial intelligence in recent years, which creates an
environment for downstream machine learning or reinforcement learning tasks. In
many practical scenarios, however, only the output series that result from the
interactions of simulation agents are observable. Therefore, simulators need to
be calibrated so that the simulated output series resemble historical -- which
amounts to solving a complex simulation optimization problem. In this paper, we
propose a simple and efficient framework …

arxiv bayesian optimization series simulation

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