A new asymptotically consistent weakly nonlinear analysis for forced non-normal systems yields non-universal amplitude equations that describe forcing-driven transitions and bifurcations in channel flow and model systems.
Self-consistent model for active control of wind turbine wakes , volume=
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A hybrid genetic algorithm with model transformations generates families of RL training environments, demonstrated for wildfire mitigation and curriculum learning.
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Non-normal weakly nonlinear analysis: asymptotic consistency and non-universality
A new asymptotically consistent weakly nonlinear analysis for forced non-normal systems yields non-universal amplitude equations that describe forcing-driven transitions and bifurcations in channel flow and model systems.
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A Model-Driven Approach for Developing Families of Reinforcement Learning Environments
A hybrid genetic algorithm with model transformations generates families of RL training environments, demonstrated for wildfire mitigation and curriculum learning.