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  1. Distributional Reinforcement Learning 著者: Bellemare, Marc G., Dabney, Will, Rowland, Mark

    出版事項 2023
    “…They guide the reader through a series of algorithmic and mathematical developments that, in turn, characterize, compute, estimate, and make decisions on the basis of the random return. …”
    全文の入手
    Online
  2. Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy 著者: Salis, Matteo, Zucchi, Andrea, FUSTA MORO, ALESSANDRO, Cameletti, Michela, GOLINI, Natalia, Ignaccolo, Rosaria

    出版事項 2023
    “…The first results are based on spatio-temporal Kriging models, with external drift, and an extension of the traditional random forest algorithm to consider the spatial and temporal correlation. …”
    全文の入手
    Online