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Algorithmic Game Theory (Stanford CS364A, Fall 2013)

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Algorithmic Game Theory (Lecture 15: Best-Case and Strong Nash Equilibria)

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Algorithmic Game Theory (Lecture 14: Robust Price-of-Anarchy Bounds in Smooth Games)

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Algorithmic Game Theory (Lecture 13: Potential Games; A Hierarchy of Equilibria)

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Algorithmic Game Theory (Lecture 12: Network Over-Provisioning and Atomic Selfish Routing)

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Algorithmic Game Theory (Lecture 11: Selfish Routing and the Price of Anarchy)

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Algorithmic Game Theory (Lecture 10: Kidney Exchange and Stable Matching)

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Algorithmic Game Theory (Lecture 9: Beyond Quasi-Linearity)

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Algorithmic Game Theory (Lecture 8: Combinatorial and Wireless Spectrum Auctions)

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Algorithmic Game Theory (Lecture 7: Multi-Parameter Mechanism Design and the VCG Mechanism)

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Algorithmic Game Theory (Lecture 6: Simple Near-Optimal Auctions)

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Algorithmic Game Theory (Lecture 5: Revenue-Maximizing Auctions)

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Algorithmic Game Theory (Lecture 4: Algorithmic Mechanism Design)

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Algorithmic Game Theory (Lecture 3: Myerson's Lemma)

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Algorithmic Game Theory (Lecture 2: Mechanism Design Basics)

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Algorithmic Game Theory (Lecture 1: Introduction and Examples)

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