The Problem MDMDP(V): Multi-Dimensional Mechanism Design Problem - PowerPoint PPT Presentation

Jul 24, 2023 •517 likes •575 views

The Problem MDMDP(V): Multi-Dimensional Mechanism Design Problem for class V Revenue maximization approximation Single buyer, single seller Buyers values drawn from a distribution New Hardness of Approximation Results Hard

The Problem • MDMDP(V): Multi-Dimensional Mechanism Design Problem for class V • Revenue maximization approximation • Single buyer, single seller • Buyer’s values drawn from a distribution
New Hardness of Approximation Results Hard Hard Hard Matroid-Based Hard Easy Additive, Unit-demand
Our Results Approximation- preserving reduction (CDW ‘13) MDMDP Approximation- Previously unknown if ODP preserving reduction (this reduction exists paper)
Hard instance for ODP(matroid-based) (even to get non-trivial approximation) Approximation- preserving reduction (CDW ‘13) MDMDP Approximation- Previously unknown if ODP preserving reduction (this reduction exists paper) Found Implies Hard instance for ODP(matroid-based) (even to get non-trivial approximation)

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The Problem MDMDP(V): Multi-Dimensional Mechanism Design Problem - PowerPoint PPT Presentation

The Problem MDMDP(V): Multi-Dimensional Mechanism Design Problem for class V Revenue maximization approximation Single buyer, single seller Buyers values drawn from a distribution New Hardness of Approximation Results Hard

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The Problem MDMDP(V): Multi-Dimensional Mechanism Design Problem - PowerPoint PPT Presentation

The Problem MDMDP(V): Multi-Dimensional Mechanism Design Problem for class V Revenue maximization approximation Single buyer, single seller Buyers values drawn from a distribution New Hardness of Approximation Results Hard

Problem Definition Problem Definition Problem Definition Problem Definition Problem Definition

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Problem solving and search Chapter 3 Chapter 3 1 Outline Problem-solving agents Problem

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Problem solving and search Chapter 3 Chapter 3 1 Outline Problem-solving agents Problem

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General Game Playing in AI Research and Education Michael Thielscher GGP in AI Research &