2022
DOI: 10.1007/s13235-022-00469-5
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Robust Networked Multiagent Optimization: Designing Agents to Repair Their Own Utility Functions

Abstract: We study settings in which autonomous agents are designed to optimize a given system-level objective. In typical approaches to this problem, each agent is endowed with a decision-making rule that specifies the agent's choice as a function of relevant information pertaining to the system's state. The choices of other agents in the system comprise a key component of this information. This paper considers a scenario in which the designed decisionmaking rules are not implementable in the realized system due to dis… Show more

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Cited by 2 publications
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