Toward fully stabilized flow control using deep reinforcement learning

arXiv:2610.35676 · physics.flu-dyn · Submitted 2026-10-26 · Read on arXiv

physics.flu-dyn

Submitted: 2026-10-26

Updated: 2026-10-26

Terminology

• Deep Reinforcement Learning — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Related papers

• Fluids You Can Trust: Property-Preserving Operator Learning for Incompressible Flows
• A neural operator framework for data-driven discovery of stability and receptivity in physical systems
• Physics Foundation Models for Efficient Control of Fluid Flows
• Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows
• Conditional Flow Matching for Generation of 3D Multi-variable Instantaneous Urban Microclimate Fields
• A mass invariant in a compressible turbulent medium