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Non-Convex Optimization for Machine Learning

Non-Convex Optimization for Machine Learning

Prateek Jain & Purushottam Kar

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

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

Entropy and Diversity: The Axiomatic Approach

Entropy and Diversity: The Axiomatic Approach

Tom Leinster

Category: signals and systems

Filtering and System Identification: A Least Squares Approach

Filtering and System Identification: A Least Squares Approach

Michel Verhaegen & Vincent Verdult

Filtering and System Identification: A Least Squares Approach

Filtering and System Identification: A Least Squares Approach

Michel Verhaegen & Vincent Verdult

Filtering and System Identification: A Least Squares Approach

Filtering and System Identification: A Least Squares Approach

Michel Verhaegen & Vincent Verdult

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