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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

Statistical Rethinking: A Bayesian Course With Examples in R and STAN

Statistical Rethinking: A Bayesian Course With Examples in R ...

Richard McElreath

Computers and Intractability: A Guide to the Theory of NP-completeness

Computers and Intractability: A Guide to the Theory of NP-completeness

Michael R. Garey & David S. Johnson

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Category: game theory

斯坦福算法博弈论二十讲

斯坦福算法博弈论二十讲

Tim Roughgarden

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