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DATA-DRIVEN DECISION MAKING AND CONTROL OF RATIONAL AGENTS
(2021-05-07)
This dissertation studies the problem of data-driven optimal decision making. The 4main contributions of this work are listed here. First, we develop a model-based and data-driven techniques for learning the cost of an ...
DISTRIBUTED ESTIMATION AND INVERSE REINFORCEMENT LEARNING FOR MULTI-AGENT SYSTEMS
(2021-12-16)
Consensus-based distributed Kalman filters for estimation with multiple targets have attracted considerable attention. Most of the existing Kalman filters use the average consensus approach, which tends to have a low ...
Learning and control for complex multiagent systems
(2023-12-06)
**Please note that the full text is embargoed until 02/01/2025** Complex multiagent systems (MASs) are pervasive in various fields, from power system networks, and autonomous robotics to traffic management, where groups ...