Learning-Based Diagnosis and Repair

Nico Roos

Learning-Based Diagnosis and Repair

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

This paper proposes a new form of diagnosis and repair based on reinforcement learning. Self-interested agents learn locally which agents may provide a low quality of service for a task. The correctness of learned assessments of other agents is proved under conditions on exploration versus exploitation of the learned assessments.

Original language	English
Pages (from-to)	1-15
Number of pages	15
Journal	Communications in Computer and Information Science
Volume	823
Publication status	Published - 2018

Keywords

diagnosis
multi-agent systems
reinforcement learning

Cite this

Roos, N. (2018). Learning-Based Diagnosis and Repair. Communications in Computer and Information Science, 823, 1-15.

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