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

    Publicado 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. …”
    Enlace del recurso
    Online
  2. Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy por Salis, Matteo, Zucchi, Andrea, FUSTA MORO, ALESSANDRO, Cameletti, Michela, GOLINI, Natalia, Ignaccolo, Rosaria

    Publicado 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. …”
    Enlace del recurso
    Online