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Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

计算机网络: 自顶向下方法

计算机网络: 自顶向下方法

James F. Kurose & Keith W. Ross

Proofs: A Long-Form Mathematics Textbook

Proofs: A Long-Form Mathematics Textbook

Jay Cummings

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

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

Christopher M. Bishop & Markus Svensén

Publisher: Springer

Why Greatness Cannot Be Planned: The Myth of the Objective

Why Greatness Cannot Be Planned: The Myth of the Objective

Kenneth O. Stanley & Joel Lehman

Why Greatness Cannot Be Planned: The Myth of the Objective

Why Greatness Cannot Be Planned: The Myth of the Objective

Kenneth O. Stanley & Joel Lehman

Information Geometry and Its Applications

Information Geometry and Its Applications

Shun-Ichi Amari

Information Geometry and Its Applications

Information Geometry and Its Applications

Shun-Ichi Amari

Recommender Systems: The Textbook

Recommender Systems: The Textbook

Charu C. Aggarwal

Recommender Systems: The Textbook

Recommender Systems: The Textbook

Charu C. Aggarwal

Combinatorial Optimization: Theory and Algorithms

Combinatorial Optimization: Theory and Algorithms

Bernhard Korte & Jens Vygen

Algorithms and Combinatorics (1)

Numerical Optimization

Numerical Optimization

Jorge Nocedal & Stephen J. Wright

Springer Series in Operations Research (1)

Numerical Optimization

Numerical Optimization

Jorge Nocedal & Stephen J. Wright

Springer Series in Operations Research (1)

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