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

    Published 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. …”
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  2. Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy by Salis, Matteo, Zucchi, Andrea, FUSTA MORO, ALESSANDRO, Cameletti, Michela, GOLINI, Natalia, Ignaccolo, Rosaria

    Published 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. …”
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