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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 ...
MULTI-PLAYER H1 DIFFERENTIAL GAME USING ON-POLICY AND OFF-POLICY REINFORCEMENT LEARNING
(2021-08-03)
This work studies a multi-player H-infinity differential game for systems of general linear dynamics. In this game, multiple players design their control inputs to minimize their cost functions in the presence of worst-case ...