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Marc Peter Deisenroth

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Mathematics for Machine Learning

Mathematics for Machine Learning

Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong

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Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications

Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications

Huber, Marco

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Bayesian Optimization

Bayesian Optimization

Roman Garnett

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Exploiting Environment Configurability in Reinforcement Learning

Exploiting Environment Configurability in Reinforcement Learning

Alberto Maria Metelli

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Cause and Effect Business Analytics and Data Science

Cause and Effect Business Analytics and Data Science

Dominique Haughton, Jonathan Haughton and Victor S. Y. Lo

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Deep Reinforcement Learning

Deep Reinforcement Learning

Aske Plaat

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ECAI 2023

ECAI 2023

Kobi Gal, Ann Nowé, Grzegorz J. Nalepa, Roy Fairstein and Roxana Radulescu

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ECAI 2020

ECAI 2020

Giuseppe De Giacomo, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín and Jérôme Lang

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Efficient Reinforcement Learning Using Gaussian Processes

Efficient Reinforcement Learning Using Gaussian Processes

Marc Peter Deisenroth

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A Survey on Policy Search for Robotics

A Survey on Policy Search for Robotics

Marc Peter Deisenroth, Gerhard Neumann, Jan Peters (Ph.D.) and Now Publishers

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