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Policy-DRIFT: Dynamic Reward-Informed Flow Trajectory Steering

physics.flu-dyn · 2026-05-13 · unverdicted · novelty 6.0

Policy-DRIFT combines conditional flow matching with terminal reward guidance and decoupled DRL to achieve 49% drag reduction in Re_tau=180 channel flow, 16% above DRL benchmarks and with 37 times less actuation energy.

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  • Policy-DRIFT: Dynamic Reward-Informed Flow Trajectory Steering physics.flu-dyn · 2026-05-13 · unverdicted · none · ref 3

    Policy-DRIFT combines conditional flow matching with terminal reward guidance and decoupled DRL to achieve 49% drag reduction in Re_tau=180 channel flow, 16% above DRL benchmarks and with 37 times less actuation energy.