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Proximal Algorithms

Proximal Algorithms

Neal Parikh & Stephen P. Boyd & Now Publishers

算法导论

算法导论

Thomas H. Cormen

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Pattern Recognition and Machine Learning: Solutions to Exercises Web-Edition

Pattern Recognition and Machine Learning: Solutions to Exercises ...

Christopher M. Bishop & Markus Svensén

Publisher: MIT Press

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

Introduction to Algorithms, Third Edition

Introduction to Algorithms, Third Edition

Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein

Machine Learning, Second Edition: A Probabilistic Perspective

Machine Learning, Second Edition: A Probabilistic Perspective

Kevin P. Murphy

Proof and the Art of Mathematics: Examples and Extensions

Proof and the Art of Mathematics: Examples and Extensions

Joel David Hamkins

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Learning Theory From First Principles

Learning Theory From First Principles

Francis Bach

Learning Theory From First Principles

Learning Theory From First Principles

Francis Bach

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