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  1. 1
    Distributional Reinforcement Learning

    Distributional Reinforcement Learning by Bellemare, Marc G.

    Published 2023
    “…Adaptive Computation and Machine Learning series…”
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  2. 2
    Boosting Foundations and Algorithms

    Boosting Foundations and Algorithms by Schapire, Robert E.

    Published 2012
    “…Adaptive Computation and Machine Learning series…”
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  3. 3
    Gaussian Processes for Machine Learning

    Gaussian Processes for Machine Learning by Rasmussen, Carl Edward

    Published 2005
    “…Adaptive Computation and Machine Learning series…”
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  4. 4
    Machine Learning for Data Streams with Practical Examples in MOA

    Machine Learning for Data Streams with Practical Examples in MOA by Bifet, Albert

    Published 2018
    “…Adaptive Computation and Machine Learning series…”
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  5. 5
    Elements of Causal Inference Foundations and Learning Algorithms

    Elements of Causal Inference Foundations and Learning Algorithms by Peters, Jonas

    Published 2017
    “…Adaptive Computation and Machine Learning series…”
    OAPEN Library: download the publication
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