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A systematic assessment framework is presented that compares four prominent DRL controllers with a classical control baseline across a diverse set of applied control problems, including non-minimum phase dynamics, flexible mechanical systems, nonlinear marine control, and aerial robotics, and clarifies the trade-offs b...
Generalist Controllers (GCs) have recently emerged as a promising paradigm for controlling heterogeneous dynamical systems using a single learned policy. However, existing GC approaches typically require prior knowledge of the active system, which limits autonomous deployment and prevents fully self-contained operation...
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