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Thesis

Game-theoretic payoff allocation in multiagent machine learning systems

Abstract:

Machine learning (ML) is becoming ubiquitous in real-world applications, spanning from our domestic devices such as vacuum cleaner robots, smart phones, virtual assistants, to industrial applications such as manipulators, warehouse robots, to public services such as medical imaging, surveillance cameras, energy grid, etc. With the growing ubiquity and interconnection of these devices, interactions among them will soon become commonplace. These emerging ML problems and the interactions amon...

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Sub department:
Computer Science
Oxford college:
Balliol College
Role:
Author

Contributors

Division:
MPLS
Department:
Computer Science
Sub department:
Computer Science
Oxford college:
Hertford College
Role:
Supervisor
ORCID:
0000-0002-9329-8410
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Sub department:
Computer Science
Oxford college:
St Anne's College
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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