Pages that link to "Item:Q5160799"

The following pages link to Control of chaotic systems by deep reinforcement learning (Q5160799):

Displaying 19 items.

• Control and anti-control of chaos based on the moving largest Lyapunov exponent using reinforcement learning (Q2077821) (← links)
• Deep reinforcement learning for the control of conjugate heat transfer (Q2131088) (← links)
• Dynamic metasurface control using deep reinforcement learning (Q2139890) (← links)
• A review on deep reinforcement learning for fluid mechanics (Q2245392) (← links)
• Control strategy of speed servo systems based on deep reinforcement learning (Q2283851) (← links)
• Multi-fidelity reinforcement learning framework for shape optimization (Q2699352) (← links)
• (Q4436336) (← links)
• Optimal chaos control through reinforcement learning (Q4515116) (← links)
• 9 From the POD-Galerkin method to sparse manifold models (Q4993250) (← links)
• Explorative gradient method for active drag reduction of the fluidic pinball and slanted Ahmed body (Q5016162) (← links)
• Feedback control of chaotic systems using multiple shooting shadowing and application to Kuramoto–Sivashinsky equation (Q5161047) (← links)
• Robust flow control and optimal sensor placement using deep reinforcement learning (Q5853740) (← links)
• Reinforcement-learning-based control of convectively unstable flows (Q5870478) (← links)
• Reinforcement-learning-based actuator selection method for active flow control (Q5871612) (← links)
• Comparative analysis of machine learning methods for active flow control (Q5882038) (← links)
• Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution (Q6068233) (← links)
• Near-grazing bifurcations and deep reinforcement learning control of an impact oscillator with elastic constraints (Q6114721) (← links)
• Proximal policy optimization‐based controller for chaotic systems (Q6117457) (← links)
• Control of chaos with time-delayed feedback based on deep reinforcement learning (Q6156247) (← links)