Inverse Game Theory: Learning Utilities in Succinct Games

DOI10.1007/978-3-662-48995-6_30zbMath1404.91059OpenAlexW2404673495MaRDI QIDQ3460806

Volodymyr Kuleshov, Okke Schrijvers

Publication date: 8 January 2016

Published in: Web and Internet Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-662-48995-6_30

zbMATH Keywords

normal-form gamessuccinct gamesinverse game theorylearning utilities

Mathematics Subject Classification ID

Games involving graphs (91A43)

Related Items (3)

Using inverse optimization to learn cost functions in generalized Nash games ⋮ Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning ⋮ Response prediction for low-regret agents

Cites Work

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• Inverse Optimization
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• The Complexity of Rationalizing Network Formation
• Selfish caching in distributed systems
• Equilibria of Polymatrix Games
• The Construction of Utility Functions from Expenditure Data
• Computing correlated equilibria in multi-player games

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