Abstract: Constrained optimization is popularly seen in reinforcement learning (RL) for addressing complex control tasks. From the perspective of dynamic system, iteratively solving a constrained ...
Abstract: This letter investigates distributed constrained optimization over directed networks, where multiple agents collaborate to minimize the sum of local convex cost functions subject to ...
explicit and writes a diagnostics table used by the README selector. OBJECTIVE_PNG = FIGURE_DIR / "qi_constrained_objective_panel.png" OBJECTIVE_PDF = FIGURE_DIR / "qi_constrained_objective_panel.pdf" ...
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